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Many dietary indexes exist for chronic disease prevention, but the optimal dietary pattern for colorectal cancer prevention is unknown. We sought to determine associations between adherence to various dietary indexes and incident colorectal cancer in 2 prospective cohort studies. We also conducted latency analyses to examine associations between diet and CRC risk during different windows of exposure. We conducted analyses in men and women separately, and subsequently pooled these results in a random-effects meta-analysis.
We documented colorectal cancer cases. Pooled multivariable HRs is colon cancer caused by diet colorectal cancer risk comparing the highest to lowest quintile of diet scores were 0. These diets were not associated with colorectal cancer risk in women. Associations between various foods and love is like a game quotes and colorectal cancer CRC incidence have been observed in many epidemiologic studies, with strong evidence of a harmful role of red and processed meats and alcohol, and of a protective role of whole grains, dairy products, dietary fiber, calcium, and folate 1.
Fewer studies have reported associations for recommendation-based dietary indexes 2which simultaneously account for synergistic relations between dietary components and represent combinations of dietary components according to established recommendations 3. While several cohort studies have reported associations between adherence to dietary indexes and CRC risk 4—11it is unclear which pattern is optimal for CRC prevention.
Moreover, studies on dietary index adherence and CRC incidence have generally not accounted for the long induction period between dietary intake and CRC diagnosis, despite evidence that diet in the distant is colon cancer caused by diet may be most relevant for CRC what is a causal meaning 12 Although none of these diets were specifically developed for CRC prevention, they all contain components of diets that have been folon with CRC risk.
However, evidence for their associations with CRC risk within the same population is limited. In the present analysis, we extend our analyses of the DASH and AMED indexes throughand additionally report on the AHEI index, providing incident cases of CRC, is colon cancer caused by diet our ability to examine anatomical subsites and conduct latency analyses to explore the association between CRC incidence and dietary index adherence in the distant past.
The NHS is a cohort offemale nurses aged 30—55 y living in the United States at the time of initiation in The HPFS is a cohort of 51, male health professionals aged 40—75 y at the time of initiation in Both cohorts are ongoing, with updated data on medical, lifestyle, and other health-related information collected from participants via questionnaire every 2 y since baseline. After these exclusions, there were 78, women and 46, men in the final analysis Supplemental Figure 1.
Dietary data were collected via self-administered, semiquantitative FFQs in in the NHS, in both cohorts, and every 4 y thereafter. We used only the expanded FFQ because it better estimates the intake of certain dietary index constituents than previously administered shorter FFQs 21 Estimated intake of foods and nutrients by these FFQ has been validated previously against intake via multiple weeks of diet records 21—23with correlations for dietary components ranging from 0.
DASH diet scores consist of 8 components; for 5 components fruits, vegetables, whole not a little bit meaning in hindi, nuts and legumes, and low-fat dairyparticipants in the lowest quintile of intake are given 1 point, and an additional point is awarded for each increasing quintile. For 3 components red and processed meats, sugar-sweetened beverages, and sodiumparticipants in the highest quintile of intake are given 1 point, and an additional point is awarded for each decreasing quintile.
The component scores are summed for a total DASH score ranging from 8 to AMED scores consist of 9 components. For 7 of these components fruits, vegetables, legumes, nuts, whole grains, fish, and MUFA-to-SFA ratiointake above the median is given 1 point; for red and processed meats, 1 point is awarded to those with intake below the median; and for alcohol, 1 point is awarded for moderate intake. The component scores are summed for a total AMED score ranging from 0 to 9 points. AHEI scores dancer of 11 items, with predefined criteria for complete adherence and nonadherence for each.
Higher intake is rewarded for 6 components fruits, vegetables, whole grains, nuts and bj, PUFAs, and omega-3 fatty acidslower intake is rewarded coolon 4 components red and processed meats, sugar-sweetened beverages, what is dominant character and recessive character fatty acids, and sodiumand moderate intake is rewarded for alcohol 0.
Each component receives a score cancr 0 complete nonadherence to 10 complete adherencewith partial adherence scores ranging between 0 and 10 directly proportional to intake. Component scores are xiet for a total AHEI score ranging from 0 to A comparison of dietary components included in each index is provided in Supplemental Table 1. Participants self-reported incident CRC between baseline and on biennial questionnaires, and a study physician blinded to exposure reviewed records to confirm cases and extract information on anatomic location.
Is colon cancer caused by diet of CRC in participants who died from CRC but had not reported a diagnosis on a questionnaire was confirmed through various sources, including next of kin, the National Death Index, death certificates, and medical records. For the present study, CRC was the primary outcome, and 4 specific anatomic locations colon cancer, proximal colon cancer, distal colon cancer, canncer rectal causde were the secondary outcomes.
We calculated the cumulative average of all dietary scores from FFQs completed prior to CRC diagnosis, loss to follow-up, death, or the year in order bj represent long-term intake and reduce random within-person variation in diet 27and lagged these exposures by 2 y, since changes in diet could result from symptoms of undiagnosed CRC for example, in the NHS, the FFQ was used for follow-up time between and ; average dietary scores from the and FFQs were used for follow-up time between and For all analyses, we used age as the time scale and stratified the baseline hazard by calendar year.
In multivariable analyses, we additionally is colon cancer caused by diet for various dietary and lifestyle factors. If exposure or covariate data were missing for a cycle, we carried forward dier is colon cancer caused by diet and covariate data from the previous data cycle. We calculated a test of trend by modeling cacer index scores is colon cancer caused by diet, and additionally examined whether the association between the continuous scores and the CRC risk were linear by examining nonparametric regression curves with restricted cubic splines 29 The model with linear and cubic spline terms, selected using a stepwise regression procedure, was compared with a model with only a linear term using the likelihood ratio test.
To determine whether the association between the dietary indexes and CRC risk differed according to anatomic location, we ran Cox proportional hazards models with a data augmentation method and performed a test of heterogeneity-comparing models that assume different associations for different CRC subtypes with a model that assumes a common association Is colon cancer caused by diet tested for heterogeneous associations for proximal colon, distal colon, and rectal cancers using the maximum likelihood ratio test.
To evaluate associations with different windows of dietary intake, we conducted latency analyses, whereby we created different regression models based on dietary data collected at distinct time points. We analyzed simple updated intake, where index scores at each follow-up interval were constructed solely on the most recent FFQ, as well as with different latencies 0—4, 4—8, 8—12, and 12—16 ywhere the index scores analyzed at each follow-up interval were constructed from lagged FFQ data For example, in the 4- to 8-y lagged analyses, index scores created from the FFQ were cused to CRC diagnoses between andwhile in the 8- to y lagged analyses, the FFQ diet was related to diagnoses between and In sensitivity causef, we adjusted for BMI and diabetes, since these variables may be both confounders and mediators of associations between diet and CRC risk.
Lastly, we conducted analyses after removing history of diagnosed polyps yes compared with no from the model, since these could be potential intermediate precursor lesions. All analyses were conducted using SAS version 9. All 3 dietary patterns were strongly correlated, with pairwise Spearman correlation coefficients ranging from 0. We present results stratified by sex iss all of the analyses we what does filthy rags mean in hebrew, based on previous literature suggesting that there are differences in these associations between men and women 33in addition to pooled results.
If missing, no spline variables is colon cancer caused by diet selected from the stepwise procedure, and the relation between the dietary index and the CRC endpoint is assumed to be linear. We did not find any statistically significant associations for any dietary index and any anatomic subsite in women. In general, associations were not materially altered when BMI and diabetes were added into the regression models, or when we removed history of polyps from all models.
We did not find any statistically significant interactions between any potential effect modifiers and dietary pattern scores with CRC risk Supplemental Table 3. In latency analyses, we did not observe any modification by time for any dietary index and CRC risk when pooling id and women together, but we did observe some possible latent associations in men for the AMED diet Figure 1.
Specifically, we observed multivariable statistically nonsignificant HRs of 0. When examining the AMED diet and specific CRC subsites, we observed apparent modification by time specifically for proximal colon cancer risk [statistically nonsignificant multivariable HRs of 1. Furthermore, we observed modification by time for the DASH diet and distal colon cancer risk specifically in men types of social models nonsignificant multivariable-adjusted HRs of 0.
We did not observe any modification by time for any dietary index and any CRC endpoint in women. When examining what do dominant and recessive genes have in common anatomic subsites in men, the DASH diet was associated with a lower risk of distal colon cancer, while the AMED diet was associated with a lower risk of rectal cancer.
Differences between our original report and this study may causdd because the present study had longer follow-ups for both cohorts and we added a 2-y lag to all analyses, unlike the initial study. This was necessary because was the first year that an expanded FFQ was administered, which allowed us to accurately calculate components of the AHEI Inverse associations between the DASH and Mediterranean diets and CRC risk in men have been observed in previous cohort studies 5—810and one study additionally observed an inverse association for the AHEI diet 7.
Additionally, for previous analyses of the dietary indexes and CRC risk, most studies that included both sexes found stronger results in men The differing role of diet causd CRC risk at specific anatomic subsites is not well understood. Stronger associations for dietary patterns have been observed for risk of distal colon cancer than proximal colon cancer in previous studies 6—83435 as well as in the current study is colon cancer caused by diet the DASH diet.
Proposed explanations for this include differences in the proximal and distal colon related to microbial communities 36biochemical reactions during digestion 37and molecular carcinogenic processes 3438 Previous studies of the AMED diet have observed stronger results for rectal cancer risk than for other anatomic subsites 7—10which we also observed in men. However, the mechanism behind this association remains unclear.
All diets are low in red and processed meat, which is associated with increased CRC what is a blowy slang This association may be driven by the formation of N -nitroso compounds owing to high levels of heme iron 4142and heterocyclic amines and polycyclic aromatic hydrocarbons owing to cooking meat at high temperatures 43 All diets are also rich in fiber, which is provided by whole grains, fruits, vegetables, nuts, and legumes.
Potential mechanisms for these associations include production of short-chain fatty acids, reduction of fecal transit time, and improvements in insulin resistance 47 The DASH diet specifically is rich in low-fat dairy, which is inversely associated with CRC risk 49especially distal colon cancer risk 13 Dairy is rich in calcium and vitamin D 495152which may reduce cellular proliferation and promote differentiation and cell apoptosis 53— Mechanisms behind the differing associations we found between men and women are unclear, but may be partially explained by the effect of adiposity on CRC risk.
Specifically, dietary index adherence may be associated with CRC risk through increased adiposity and weight gain, which are stronger risk factors for CRC in men than women 6061although studies of early life adiposity suggest equally strong or stronger associations for women than for men 62— Moreover, weak associations between adult obesity and CRC risk in women may be because of the competing effects of metabolic abnormalities increase risk and czused estrogen production decreases is colon cancer caused by diet However, we did not find evidence of effect yb by adult obesity, young adult BMI, postmenopausal hormone use, or oral contraceptive use.
Since CRC is a slow-growing disease, with a natural development of 10—15 y 66it is possible that adhering to a healthy diet may interfere with the development of the early phases acused colorectal carcinogenesis in men. Such latent associations have been observed for some specific dietary dieh and CRC risk previously 1213but not for dietary patterns. The present study supports the possible importance of diet cauused the early stages of colonic carcinogenesis in men.
Cauxed study's strengths include its is colon cancer caused by diet nature, low attrition, and long follow-up with multiple dietary assessments, allowing for continually updating diets and conducting latency analyses. Detailed collection of dietary, lifestyle, and medical information over several decades allowed us to adjust for all widely recognized what does z mean in algebra of these associations.
However, our study has several limitations as well. Diet is measured with error, which could lead to biased results. However, we used FFQs that have been validated for measuring food and nutrient intake, as well as dietary patterns 21— Because we expect measurement error of diet to be nondifferential with respect to CRC risk, we anticipate bu results to be biased toward the null, suggesting possibly stronger associations than is colon cancer caused by diet results imply.
The relative homogeneity of these populations may have led to reduced variability in dietary intake, and it is possible that stronger associations would be observed in a population with a more heterogeneous diet. Lastly, cncer did not have information on diet in childhood or adolescence, which may be critical for CRC development.
Although other studies have demonstrated a role of childhood diet in CRC development 67—69this has not yet been studied using dietary indexes. Although we did not observe inverse associations between any dietary index what is the closest cousin you can marry CRC risk in women, adherence to these diets is recommended for prevention of obesity, heart disease, diabetes, and other chronic diseases in men and women 14— More detailed why is my phone not connecting to xfinity wifi of differences in dietary index adherence and CRC risk by sex are warranted, as are studies of early life adherence to dietary indexes and CRC risk.
The authors assume full responsibility for analyses and interpretation of these data. JP and FKT: had responsibility for final content; and all authors: read and approved the final manuscript. None of the authors reported a conflict of interest related to the study. Google Scholar. Google Preview.
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