Literature DB >> 27280637

Nut consumption and prostate cancer risk and mortality.

Weike Wang1, Meng Yang2, Stacey A Kenfield3, Frank B Hu1,2,4, Meir J Stampfer1,2,4, Walter C Willett1,2,4, Charles S Fuchs4,5, Edward L Giovannucci1,2,4, Ying Bao4.   

Abstract

BACKGROUND: Little is known of the association between nut consumption, and prostate cancer (PCa) incidence and survivorship.
METHODS: We conducted an incidence analysis and a case-only survival analysis in the Health Professionals Follow-up Study on the associations of nut consumption (updated every 4 years) with PCa diagnosis, and PCa-specific and overall mortality.
RESULTS: In 26 years, 6810 incident PCa cases were identified from 47 299 men. There was no association between nut consumption and being diagnosed with PCa or PCa-specific mortality. However, patients who consumed nuts five or more times per week after diagnosis had a significant 34% lower rate of overall mortality than those who consumed nuts less than once per month (HR=0.66, 95% CI: 0.52-0.83, P-trend=0.0005).
CONCLUSIONS: There were no statistically significant associations between nut consumption, and PCa incidence or PCa-specific mortality. Frequent nut consumption after diagnosis was associated with significantly reduced overall mortality.

Entities:  

Mesh:

Year:  2016        PMID: 27280637      PMCID: PMC4973153          DOI: 10.1038/bjc.2016.181

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Nuts are rich in bioactive macronutrients, micronutrients, tocopherols and phytochemicals (Ros ). Current epidemiological evidence has consistently linked increased nut consumption to reduced risk of several chronic conditions including cardiovascular diseases, type 2 diabetes, and inflammation (Ros, 2010; Afshin ). In contrast, evidence on nut consumption and cancer risk has been insufficient and equivocal (González and Salas-Salvadó, 2007). Prostate cancer (PCa) is the leading cancer among US men (Siegel ), with ∼220 800 new PCa cases diagnosed in 2015 (American Cancer Society, 2015). Studies regarding nut intake and PCa incidence are limited and have reported inconsistent results (Mills ; Hebert ; Jain ; Raimondi ). Furthermore, few studies have investigated nut intake in relation to survival among PCa patients and in one that has the associations were suggestive, but not statistically significant (Richman ). Thus, in the current study, we prospectively examined nut consumption in relation to PCa incidence and PCa-specific mortality in a large cohort of male health professionals.

Materials and Methods

For details on methods see Supplementary Material.

Study population

The Health Professionals Follow-up Study (HPFS) is a prospective cohort study of US male health professionals established in 1986 (Kenfield ). After exclusion criteria, the final incidence analysis included 47 299 men and the final case-only survival analysis included 4346 PCa patients without metastasis at diagnosis, followed through January 2012.

Assessment of dietary and non-dietary factors

Participants completed a validated semi-quantitative food frequency questionnaire (FFQ) at baseline and every 4 years thereafter. They were asked how often they consumed a serving (serving size, 28 g (1 oz)) of peanuts and other nuts during the preceding year. Total nut consumption was defined as the sum of peanut and other nut consumption. A validation study of the FFQ indicated that nuts were reported reasonably accurately (Salvini ). We also obtained information on other lifestyle factors and medical history.

Ascertainment of PCa

PCa diagnosis was confirmed with medical records and pathology reports. Family reports and National Death Index searches were used to identify deaths. We examined hazard ratios (HR) with respect to the following categories of PCa: total (excluding T1a cancers), advanced, lethal, fatal, low-grade (Gleason score 2–6) and high-grade (Gleason score⩾7). Advanced PCa was defined as stage T3b, T4, N1, or M1 at diagnosis, or lymph node metastases, distant metastases, or PCa death during follow-up. Lethal cancer, the primary focus of our study, was defined as cases that metastasised to distant organs at diagnosis or over follow-up, or that caused PCa death. Fatal cancers were defined as those that caused PCa death. We also investigated post-diagnostic nut intake in relation to development of lethal PCa, fatal PCa, and all-cause mortality among men diagnosed with localised or regional PCa (clinical stage T1–T3a).

Statistical analysis

Cox proportional hazards models were used to estimate HR and 95% confidence intervals (CIs).

PCa incidence analysis

Men were followed from return of baseline questionnaire until diagnosis, death, or 31 January 2012. Nut consumption was presented as a cumulative average from 1986 to end of follow-up. In secondary analyses, we assessed interactions by ethnicity, age, and BMI, added a 2-year lag period between nut-intake assessment and each follow-up period, and further examined baseline nut intake in relation to being diagnosed with PCa.

Case-only survival analysis

For lethal PCa, men were followed from PCa diagnosis to metastases. For fatal PCa, men were followed from PCa diagnosis to death from PCa. For all-cause mortality, men were followed from PCa diagnosis until death by any cause or 31 January 2012. Nut consumption was presented as a cumulative average from the date of diagnosis to end of follow-up. The FFQ immediately preceding diagnosis was used to classify the participants' diet from the diagnosis date until the next available FFQ, because it would better capture diet at the time of diagnosis without the diagnosis having affected diet. Similar secondary analyses to those above were performed. In addition, we included pre-diagnostic nut consumption from the 1986 FFQ in the multivariable models to mitigate the influence of pre-diagnostic diet.

Results

Nut consumption and PCa incidence

During 26 years of follow-up, 6810 men were diagnosed with PCa. At baseline, men with higher nut consumption exercised more, took more vitamin supplements, had higher Mediterranean diet scores and drank more alcohol (Supplementary Table 1). Nut consumption was not associated with being diagnosed with PCa (Table 1). Similarly, no significant associations were observed between peanut or other nut consumption and PCa incidence (data not shown). The null effect association remained unchanged when baseline nut intake was used as the main exposure, or after a 2-year lag period was added between nut-intake assessment and each follow-up period (data not shown). No significant interactions by age, BMI, or ethnicity were identified (all P interactions >0.05).
Table 1

Hazard ratios and 95% confidence intervals of prostate cancer, according to the total nut consumption

 Frequency of total nut consumption (28 g serving)
 
 Less than once per monthLess than once per weekOnce per week2–4 Times per week⩾5 Times per weekP for trend
Nut-intake, servings per day0–0.0330.034–0.100.11–0.200.21–0.60>0.60 
All
Event999148116151998717 
Person-years171 866216 234237 987272 132100 500 
Age-adjusteda11.08 (1.00, 1.18)1.11 (1.02, 1.20)1.11 (1.03, 1.20)1.04 (0.93, 1.16)0.54
MV1-adjustedb11.05 (0.97, 1.14)1.07 (0.99, 1.16)1.07 (0.98, 1.15)1.00 (0.90, 1.11)0.85
MV2-adjustedc11.04 (0.96, 1.13)1.06 (0.98, 1.15)1.05 (0.97, 1.14)0.98 (0.89, 1.09)0.61
Advancedd
Event172247265312136 
Person-years172 673217 410239 312273 755101 050 
Age-adjusteda11.16 (0.95, 1.41)1.19 (0.98, 1.45)1.18 (0.97, 1.43)1.23 (0.97, 1.56)0.20
MV1-adjustedb11.15 (0.94, 1.40)1.18 (0.97, 1.44)1.17 (0.96, 1.42)1.22 (0.96, 1.55)0.23
MV2-adjustedc11.13 (0.93, 1.38)1.15 (0.94, 1.40)1.13 (0.93, 1.37)1.18 (0.93, 1.50)0.40
Lethale
Event149190193233107 
Person-years17 694217 459239 383273 826101 074 
Age-adjusteda11.05 (0.84, 1.30)1.02 (0.82, 1.26)1.02 (0.83, 1.27)1.11 (0.85, 1.43)0.58
MV1-adjustedb11.05 (0.84, 1.31)1.02 (0.82, 1.27)1.02 (0.83, 1.27)1.11 (0.85, 1.44)0.58
MV2-adjustedc11.04 (0.83, 1.29)1.00 (0.80, 1.24)0.99 (0.80, 1.23)1.07 (0.82, 1.40)0.78
Fatal
Event12414915919484 
Person-years172 718217 500239 420273 860101 096 
Age-adjusteda11.00 (0.79, 1.28)1.02 (0.80, 1.30)1.03 (0.82, 1.31)1.03 (0.77, 1.38)0.76
MV1-adjustedb11.01 (0.79, 1.29)1.03 (0.81, 1.31)1.05 (0.83, 1.33)1.05 (0.78, 1.40)0.71
MV2-adjustedc11.00 (0.78, 1.27)1.01 (0.79, 1.28)1.00 (0.79, 1.27)1.01 (0.75, 1.36)0.94
Gleason score 2–6
Event465729731937311 
Person-years172 395216 965238 870273 166100 885 
Age-adjusteda11.10 (0.98, 1.24)1.05 (0.93, 1.18)1.11 (0.99, 1.25)0.99 (0.86, 1.16)0.93
MV1-adjustedb11.04 (0.93, 1.18)0.99 (0.88, 1.12)1.04 (0.93, 1.17)0.93 (0.80, 1.08)0.50
MV2-adjustedc11.03 (0.92, 1.16)0.98 (0.87, 1.10)1.02 (0.91, 1.15)0.92 (0.79, 1.07)0.43
Gleason score ⩾7
Event264434526661233 
Person-years172 575217 252239 075273 405100 979 
Age-adjusteda11.15 (0.98, 1.34)1.28 (1.10, 1.49)1.25 (1.07, 1.45)1.14 (0.95, 1.37)0.33
MV1-adjustedb11.11 (0.95, 1.30)1.25 (1.07, 1.45)1.19 (1.03, 1.39)1.09 (0.91, 1.32)0.60
MV2-adjustedc11.10 (0.94, 1.29)1.22 (1.05, 1.42)1.16 (1.00, 1.35)1.07 (0.88, 1.28)0.86

Abbreviations: MV1=multivariable model 1; MV2=multivariable model 2.

Age-adjusted model adjusted for age in months, time period (2-year intervals), and energy (kcal per day, quintiles).

Multivariable model 1 adjusted for age in months, time period (2-year intervals), energy (kcal per day, quintiles), body mass index (<25, 25–29.9, and ⩾30 kg m−2), vigorous physical activity (<1, 1 to <3, and ⩾3 h per week), smoking status (current, former, and never), and PSA screening history (yes, no, and unknown).

Multivariable model 2 adjusted for all the variables in MV1 and family history of PCa (yes, no), ethnicity (Caucasian, African, and Asian), height (inches, quintiles), history of diabetes (yes, no), current multivitamin use (yes, no), current supplement use (yes, no), tomato sauce (servings per week, quartiles), coffee intake (servings per day, tertiles), and Mediterranean diet (score range 0–9).

Advanced disease includes stage T3b-4, N1, M1, or prostate cancer-specific death.

Lethal disease includes metastasis to bone or other organs at diagnosis or over follow-up or prostate cancer-specific death.

Nut consumption and mortality in PCa patients

Among the 4346 men diagnosed with non-metastatic PCa, 359 cases of lethal PCa, 264 cases of fatal PCa, and 1285 total deaths were identified. The mean duration of follow-up was 7.8 years for lethal PCa and 10.3 years for fatal PCa. Compared with non-consumers, patients with higher nut consumption were more likely to take vitamin supplements, less likely to have high blood pressure, consumed more alcohol, olive oil, and tomatoes, and had a higher Mediterranean diet score (Supplementary Table 2). There were no statistically significant associations between nut consumption after diagnosis and development of lethal or fatal PCa (Table 2). But patients who consumed nuts five or more times per week had a 34% lower rate of overall mortality compared with those who consumed less than once per month (HR: 0.66, 95% CI: 0.52–0.83, P for trend=0.0005); (Table 2). We also observed a statistically significant difference in overall survival across nut-intake categories (P<0.0004, Supplementary Figure 1).
Table 2

Hazard ratios and 95% confidence intervals for prostate-specific and all-cause mortality among men diagnosed with non-metastatic prostate cancer, according to the total nut consumption

 Frequency of total nut consumption (28 g serving)
 
 Less than once per monthLess than once per weekOnce per week2–4 Times per week⩾5 Times per weekP for trend
Nut-intake, servings per day0–0.0330.034–0.100.11–0.200.21–0.60>0.60 
Lethal prostate cancer
Event52667312246 
Person-years65048633925113 5296706 
Age-adjusteda10.88 (0.61, 1.27)0.91 (0.63, 1.30)1.03 (0.74, 1.45)0.79 (0.52, 1.20)0.72
MV1-adjustedb10.87 (0.60, 1.26)0.95 (0.66, 1.37)1.06 (0.75, 1.49)0.81 (0.53, 1.24)0.83
MV2-adjustedc10.92 (0.63, 1.33)0.99 (0.68, 1.42)1.13 (0.80, 1.59)0.88 (0.57, 1.35)0.89
Fatal prostate cancer
Event3649609326 
Person-years7726958810 23114 9607489 
Age-adjusteda10.87 (0.56, 1.35)0.96 (0.63, 1.47)1.00 (0.67, 1.48)0.55 (0.32, 0.93)0.09
MV1-adjustedb10.92 (0.59, 1.43)1.02 (0.66, 1.56)1.10 (0.74, 1.65)0.59 (0.35, 1.00)0.17
MV2-adjustedc10.91 (0.59, 1.43)0.98 (0.64, 1.51)1.16 (0.77, 1.74)0.62 (0.36, 1.07)0.38
All-cause mortality
Event203266289380147 
Person-years7772958810 23114 9607489 
Age-adjusteda10.82 (0.68, 0.99)0.80 (0.67, 0.97)0.67 (0.56, 0.79)0.52 (0.41, 0.65)<0.0001
MV1-adjustedb10.91 (0.75, 1.09)0.90 (0.75, 1.08)0.78 (0.65, 0.93)0.58 (0.47, 0.73)<0.0001
MV2-adjustedd10.92 (0.76, 1.11)0.91 (0.76, 1.10)0.85 (0.71, 1.01)0.66 (0.52, 0.83)0.0005

Abbreviations: MV1=multivariable model 1; MV2=multivariable model 2.

Age-adjusted model adjusted for age at diagnosis (years), time period (2-year intervals), time since diagnosis to FFQ (years), and energy (kcal per day, quintiles).

Multivariable model 1 adjusted for age at diagnosis (years), time period (2-year intervals), time since diagnosis to FFQ (years), energy (kcal per day, quintiles), body mass index (<25, 25 to <30, and ⩾30 kg m−2), vigorous physical activity (<1, 1 to <3, and ⩾3 h per week), smoking status (current, former and never), Gleason score (<7, 7, and >7), clinical T stage (T1, T2, and T3), and primary treatment (radical prostatectomy, radiation, hormonal therapy, active surveillance, and other).

Multivariable model 2 for lethal/fatal PCa adjusted for all the variables of MV 1 and PSA screening history (yes, no, and unknown), family history of PCa (yes, no), ethnicity (Caucasian, African, and Asian), height (inches, quintiles), history of diabetes (yes, no), current multivitamin use (yes, no), current supplement use (yes, no), tomato sauce (servings per week, quartiles), coffee intake (servings per day, tertiles), and Mediterranean diet score (range: 0–9).

Multivariable model 2 for all-cause mortality adjusted for all the variables of MV 2 for lethal/fatal PCa as well as family history of diabetes mellitus, of myocardial infarction, of cancer, and history of high blood pressure and elevated cholesterol (all defined as yes or no).

Further adjustment for pre-diagnostic baseline nut consumption or adding a 2-year lag period did not alter these findings (data not shown). No significant interactions by age, BMI, or ethnicity were identified (all P interactions >0.05). Although we observed no associations of peanuts or other nuts separately with lethal or fatal PCa, the HRs for total mortality were 0.70 (95% CI: 0.52–0.95; P for trend=0.003) for other nuts and 0.79 (95% CI: 0.59–1.06; P for trend=0.01) for peanuts, comparing five or more servings per week with less than once per month.

Discussion

To our knowledge, this is the largest cohort study to prospectively assess the association of nut consumption with being diagnosed with PCa, including subtypes of aggressive PCa. Our null effect results with PCa incidence are consistent with those of the Adventists Health Study (180 PCa cases and 6-year follow-up) (Mills ), although they did not examine different subtypes of PCa. In contrast, two case–control studies reported inverse associations (Jain ; Raimondi ). However, case–control studies are prone to recall bias and do not have long-term and repeated measures of dietary intake. In addition, Jain combined nuts with beans and lentils, which could also explain the difference in results. We observed a reasonably large, albeit non-significant, HR of 0.62 between post-diagnosis nut consumption and fatal outcome among PCa patients. This is consistent with a recent study that found an 18% lower rate of lethal PCa (HR, 0.82; 95% CI, 0.67–1.01) per daily serving increase of nut intake after diagnosis (Richman ). In addition, our finding of a significant 34% rate reduction in overall mortality is consistent with other prospective studies, Richman included, which have found inverse associations between nuts and mortality, with HRs ranging from 0.61 to 0.87 (Bao ; Guasch-Ferré and Bulló, 2013; Richman ; Hshieh ; Luu ). Our study suggests that nuts, although not associated with being diagnosed with PCa, may still improve the overall survival of PCa patients. Among PCa patients in the HPFS, cardiovascular disease was the leading cause of death, accounting for nearly one-third of the deaths (Richman ; Kenfield ). Large cohort studies have consistently shown that increased nut consumption was associated with reduced cardiovascular disease incidence and mortality (Hu, 2003; Kelly and Sabaté, 2007; Kris-Etherton et al, 2008). Nuts are dense in nutrients and bioactive compounds that may confer cardio-protective, anti-inflammatory, and antioxidant properties (Kris-Etherton et al, 2008; Bao ). Furthermore, nuts are rich in monounsaturated and polyunsaturated fats, and replacement of carbohydrates and animal fat with either unsaturated fats has been shown to reduce all-cause mortality and lethal outcomes among men with non-metastatic PCa (Richman ). The strengths of this study include its prospective design, large sample size, long follow-up time with excellent retention, and repeated measurement of diet and lifestyle factors. We were also able to reduce random measurement error by averaging nut intake cumulatively from multiple time points. However, there may still be residual confounding, although we adjusted extensively for risk factors for PCa development and survivorship. In conclusion, nut consumption was not associated with PCa incidence or PCa-specific mortality in this large and prospective cohort of men. However, frequent nut consumption was associated with significantly lower overall mortality rate among men diagnosed with non-metastatic PCa.
  17 in total

1.  Plant foods, antioxidants, and prostate cancer risk: findings from case-control studies in Canada.

Authors:  M G Jain; G T Hislop; G R Howe; P Ghadirian
Journal:  Nutr Cancer       Date:  1999       Impact factor: 2.900

Review 2.  Nuts and berries for heart health.

Authors:  Emilio Ros; Linda C Tapsell; Joan Sabaté
Journal:  Curr Atheroscler Rep       Date:  2010-11       Impact factor: 5.113

3.  Nut consumption and risk of mortality in the Physicians' Health Study.

Authors:  Tammy T Hshieh; Andrew B Petrone; J Michael Gaziano; Luc Djoussé
Journal:  Am J Clin Nutr       Date:  2014-12-17       Impact factor: 7.045

4.  Diet and prostate cancer risk with specific focus on dairy products and dietary calcium: a case-control study.

Authors:  Sara Raimondi; Jihène Ben Mabrouk; Bryna Shatenstein; Patrick Maisonneuve; Parviz Ghadirian
Journal:  Prostate       Date:  2010-07-01       Impact factor: 4.104

5.  Association of nut consumption with total and cause-specific mortality.

Authors:  Ying Bao; Jiali Han; Frank B Hu; Edward L Giovannucci; Meir J Stampfer; Walter C Willett; Charles S Fuchs
Journal:  N Engl J Med       Date:  2013-11-21       Impact factor: 91.245

6.  Prospective evaluation of the association of nut/peanut consumption with total and cause-specific mortality.

Authors:  Hung N Luu; William J Blot; Yong-Bing Xiang; Hui Cai; Margaret K Hargreaves; Honglan Li; Gong Yang; Lisa Signorello; Yu-Tang Gao; Wei Zheng; Xiao-Ou Shu
Journal:  JAMA Intern Med       Date:  2015-05       Impact factor: 21.873

7.  Cancer statistics, 2015.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2015-01-05       Impact factor: 508.702

8.  Food-based validation of a dietary questionnaire: the effects of week-to-week variation in food consumption.

Authors:  S Salvini; D J Hunter; L Sampson; M J Stampfer; G A Colditz; B Rosner; W C Willett
Journal:  Int J Epidemiol       Date:  1989-12       Impact factor: 7.196

9.  Fat intake after diagnosis and risk of lethal prostate cancer and all-cause mortality.

Authors:  Erin L Richman; Stacey A Kenfield; Jorge E Chavarro; Meir J Stampfer; Edward L Giovannucci; Walter C Willett; June M Chan
Journal:  JAMA Intern Med       Date:  2013-07-22       Impact factor: 21.873

10.  Nutritional and socioeconomic factors in relation to prostate cancer mortality: a cross-national study.

Authors:  J R Hebert; T G Hurley; B C Olendzki; J Teas; Y Ma; J S Hampl
Journal:  J Natl Cancer Inst       Date:  1998-11-04       Impact factor: 13.506

View more
  12 in total

1.  Nut intake and 5-year changes in body weight and obesity risk in adults: results from the EPIC-PANACEA study.

Authors:  Heinz Freisling; Hwayoung Noh; Nadia Slimani; Véronique Chajès; Anne M May; Petra H Peeters; Elisabete Weiderpass; Amanda J Cross; Guri Skeie; Mazda Jenab; Francesca R Mancini; Marie-Christine Boutron-Ruault; Guy Fagherazzi; Verena A Katzke; Tilman Kühn; Annika Steffen; Heiner Boeing; Anne Tjønneland; Cecilie Kyrø; Camilla P Hansen; Kim Overvad; Eric J Duell; Daniel Redondo-Sánchez; Pilar Amiano; Carmen Navarro; Aurelio Barricarte; Aurora Perez-Cornago; Konstantinos K Tsilidis; Dagfinn Aune; Heather Ward; Antonia Trichopoulou; Androniki Naska; Philippos Orfanos; Giovanna Masala; Claudia Agnoli; Franco Berrino; Rosario Tumino; Carlotta Sacerdote; Amalia Mattiello; H Bas Bueno-de-Mesquita; Ulrika Ericson; Emily Sonestedt; Anna Winkvist; Tonje Braaten; Isabelle Romieu; Joan Sabaté
Journal:  Eur J Nutr       Date:  2017-07-21       Impact factor: 5.614

Review 2.  Plant-Based Diets and Cancer Prognosis: a Review of Recent Research.

Authors:  Luisa Hardt; Yahya Mahamat-Saleh; Dagfinn Aune; Sabrina Schlesinger
Journal:  Curr Nutr Rep       Date:  2022-09-23

3.  Associations of Monounsaturated Fatty Acids From Plant and Animal Sources With Total and Cause-Specific Mortality in Two US Prospective Cohort Studies.

Authors:  Marta Guasch-Ferré; Geng Zong; Walter C Willett; Peter L Zock; Anne J Wanders; Frank B Hu; Qi Sun
Journal:  Circ Res       Date:  2019-04-12       Impact factor: 17.367

4.  Association of Total Nut, Tree Nut, Peanut, and Peanut Butter Consumption with Cancer Incidence and Mortality: A Comprehensive Systematic Review and Dose-Response Meta-Analysis of Observational Studies.

Authors:  Sina Naghshi; Mehdi Sadeghian; Morteza Nasiri; Sara Mobarak; Masoomeh Asadi; Omid Sadeghi
Journal:  Adv Nutr       Date:  2021-06-01       Impact factor: 8.701

5.  Combination of Arsenic trioxide and Everolimus (Rad001) synergistically induces both autophagy and apoptosis in prostate cancer cells.

Authors:  Sheng Tai; Lingfan Xu; Ming Xu; Ligang Zhang; Yangyang Zhang; Kaipin Zhang; Li Zhang; Chaozhao Liang
Journal:  Oncotarget       Date:  2017-02-14

6.  Effect of Increasing Levels of Web-Based Behavioral Support on Changes in Physical Activity, Diet, and Symptoms in Men With Prostate Cancer: Protocol for a Randomized Controlled Trial.

Authors:  Kerri M Winters-Stone; Stacey A Kenfield; Erin L Van Blarigan; Esther L Moe; Justin W Ramsdill; Kimi Daniel; Greta Macaire; Kellie Paich; Elizabeth R Kessler; Omer Kucuk; Theresa W Gillespie; Karen S Lyons; Tomasz M Beer; Jeanette M Broering; Peter R Carroll; June M Chan
Journal:  JMIR Res Protoc       Date:  2018-11-15

Review 7.  Health Benefits of Nut Consumption in Middle-Aged and Elderly Population.

Authors:  Marius Emil Rusu; Andrei Mocan; Isabel C F R Ferreira; Daniela-Saveta Popa
Journal:  Antioxidants (Basel)       Date:  2019-08-12

8.  Nut and peanut butter consumption and risk of prostate cancer in the NIH-AARP diet and health study.

Authors:  Mimi Ton; Leah M Ferrucci; Stephanie J Weinstein; Maryam Hashemian; Demetrius Albanes; Jiaqi Huang
Journal:  Cancer Commun (Lond)       Date:  2021-10-17

9.  Nut Consumption and Survival in Patients With Stage III Colon Cancer: Results From CALGB 89803 (Alliance).

Authors:  Temidayo Fadelu; Sui Zhang; Donna Niedzwiecki; Xing Ye; Leonard B Saltz; Robert J Mayer; Rex B Mowat; Renaud Whittom; Alexander Hantel; Al B Benson; Daniel M Atienza; Michael Messino; Hedy L Kindler; Alan Venook; Shuji Ogino; Kimmie Ng; Kana Wu; Walter Willett; Edward Giovannucci; Jeffrey Meyerhardt; Ying Bao; Charles S Fuchs
Journal:  J Clin Oncol       Date:  2018-02-28       Impact factor: 44.544

10.  Meta-analysis of the association between nut consumption and the risks of cancer incidence and cancer-specific mortality.

Authors:  Dai Zhang; Cong Dai; Linghui Zhou; Yiche Li; Kang Liu; Yu-Jiao Deng; Na Li; Yi Zheng; Qian Hao; Si Yang; Dingli Song; Ying Wu; Zhen Zhai; Shiyi Cao; Zhijun Dai
Journal:  Aging (Albany NY)       Date:  2020-06-02       Impact factor: 5.682

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.