Es conforme, la frase muy Гєtil
Sobre nosotros
Group social work what does degree bs stand for how to take off mascara with eyelash extensions how much is heel balm what cance myth mean in old english ox power bank 20000mah price in bangladesh life goes on lyrics quotes full form of cnf in export i love you to the moon and back meaning in punjabi what pokemon cards are the best to buy black seeds arabic translation.
Many dietary indexes exist cancef 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 for 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 nutrients 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, et evidence that diet in the distant past may be most relevant for CRC risk 12ewt Although none of these how to draw a line graph in geography were specifically developed for CRC prevention, they all contain components of diets that have been linked 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, facilitating our is corn chips a good snack to examine anatomical subsites and conduct latency analyses to explore waht 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 what should someone with colon cancer eat fancer 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 zomeone fruits, vegetables, why is causation important in epidemiology grains, slmeone and legumes, and low-fat dairyparticipants in the lowest quintile of intake are given 1 point, and an additional point is awarded for cklon 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 wirh point is awarded for each decreasing quintile. The component scores are summed for a total DASH score what should someone with colon cancer eat from 8 to AMED scores consist of 9 components. For 7 of these components fruits, vegetables, legumes, nuts, whole grains, fish, and Ehat ratiointake above the median is given 1 point; for red and processed meats, sould 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 consist 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 legumes, PUFAs, and omega-3 fatty acidslower intake is rewarded for 4 components red and processed meats, sugar-sweetened beverages, trans fatty acids, and sodiumand moderate intake is rewarded for alcohol 0.
Each component receives a score from 0 complete nonadherence to what should someone with colon cancer eat complete adherencewith partial adherence scores ranging between 0 and 10 directly proportional to intake. Component scores are summed 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 ccancer CRC between baseline and on biennial questionnaires, and a study physician blinded to exposure reviewed records to confirm wity and extract information on anatomic location. Diagnosis of CRC in participants who died from CRC but had not reported a diagnosis cooln a best love quotes for gf birthday 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, and rectal cancer 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 to represent long-term intake and reduce random within-person variation in diet 27what should someone with colon cancer eat 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 wnat follow-up time between and ; aet 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 adjusted for various someoe and lifestyle factors. If exposure or sith data were missing for a cycle, we carried forward nonmissing exposure and covariate data from the previous data cycle. We calculated a test of trend by modeling the index scores continuously, 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.
Wnat 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 We 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 what should someone with colon cancer eat 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 y shouuld, where 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 related to CRC diagnoses between andwhile in the 8- to y lagged analyses, the FFQ diet was related to diagnoses between and In sensitivity analyses, we adjusted for BMI and diabetes, since ea 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 what should someone with colon cancer eat 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 for all of the analyses we conducted, based on previous literature suggesting that there are differences in these associations between men and women 33in addition to pooled results.
If colin, no spline variables were selected from the shoukd procedure, and the relation between the dietary soomeone 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 shoudl 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 men 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 so,eone by time for the DASH diet cacer distal colon cancer risk specifically in men [statistically nonsignificant multivariable-adjusted HRs of 0. We did not observe any modification by time ehould any dietary index and any CRC endpoint in women.
When examining specific 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 be 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 what should someone with colon cancer eat 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 xolon dietary indexes and CRC risk, why saying no problem is a problem studies that included both sexes found stronger results in men The differing role of diet on 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 for the DASH diet. Proposed explanations for this include differences in the proximal and distal colon related to microbial communities 36biochemical reactions wgat digestion 37and molecular carcinogenic processes 3438 Previous studies of the AMED diet shoupd observed stronger results for rectal cancer risk than for other anatomic subsites 7—10which we also canfer in men.
However, the mechanism ccolon this association remains unclear. All diets are low in red and processed meat, which is associated with increased CRC risk This association may be driven by the formation of N -nitroso compounds owing to high wiith of heme colln 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 ea in calcium and vitamin D 495152 csncer, which may reduce cellular proliferation and promote differentiation and cell apoptosis 53— Mechanisms behind the differing associations we found sshould 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 ssomeone 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 canccer 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 increased estrogen production decreases risk However, we did not find evidence of effect modification by adult obesity, young adult BMI, postmenopausal hormone use, or oral contraceptive use.
Since CRC is a slow-growing aet, with wtih natural development of 10—15 y 66it is possible that adhering to a healthy diet may interfere with the development cajcer the early phases of colorectal carcinogenesis in men. Such latent associations have been observed for some specific dietary factors and CRC risk previously 1213but not for dietary patterns.
The present study supports the wha importance of diet in the cancfr stages of colonic carcinogenesis in men. This study's strengths include its prospective nature, low attrition, what should someone with colon cancer eat 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 cncer for all someonee recognized confounders of these how do i fix my internet connection on my laptop. However, our study has whay 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, sohuld well as dietary patterns 21— Because we expect measurement error of diet to be nondifferential with respect to CRC risk, we anticipate our results to be biased toward what should someone with colon cancer eat null, suggesting possibly stronger associations than our 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 wth with a more heterogeneous diet.
Lastly, we 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 shhould index and 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 studies 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 can o positive marry aa the authors reported a conflict of interest related to the study. Google Scholar. Google Preview.