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. 2021 Jan 16;13(1):243. doi: 10.3390/nu13010243

Adherence to Mediterranean Diet, Physical Activity and Survival after Prostate Cancer Diagnosis

Matteo Di Maso 1, Livia S A Augustin 2, Federica Toffolutti 3, Carmen Stocco 4, Luigino Dal Maso 3, David J A Jenkins 5,6,7,8, Neil E Fleshner 9, Diego Serraino 3, Jerry Polesel 3,*
PMCID: PMC7829941  PMID: 33467042

Abstract

Despite the considerable number of studies investigating the Mediterranean diet in prostate cancer (PCa) etiology, very few focused on cancer survival. We assessed the pre-diagnostic diet and physical activity in a cohort of 777 men with PCa diagnosed between 1995 and 2002 in north-eastern Italy; adherence to the Mediterranean diet was evaluated through the Mediterranean Diet Score (MDS). Hazard ratios (HR) of death with confidence intervals (CI) were estimated using the Cox model, adjusting for potential confounders. During 10 years of follow-up, 208 patients (26.8%) died, 75 (9.7%) due to PCa. Patients reporting MDS ≥ 5 showed a higher overall survival than those with MDS < 5 (HR = 0.74; 95% CI: 0.56–0.99). Although high physical activity was not significantly associated with overall survival (HR = 0.79; 95% CI: 0.59–1.07), the HR for all-cause death was the lowest (HR = 0.58; 95% CI: 0.38–0.90) for men reporting MDS ≥ 5 and high physical activity compared to those reporting MDS < 5 and low/moderate physical activity. No association emerged for PCa specific survival. Study findings support the beneficial impact of pre-diagnostic adherence to the Mediterranean diet and physical activity on overall survival; they are mainly driven by risk reduction in non-prostate cancer mortality, which however accounts for about 80% of death in men with PCa.

Keywords: Mediterranean diet, physical activity, prostate cancer, survival

1. Introduction

In Europe, prostate cancer (PCa) is the most common neoplasm among men (approximately 473,000 new cases/year) and it is the leading cause of cancer deaths (approximately 108,000 deaths/year) [1]. The widespread use of prostate-specific antigen (PSA) testing, which started in Italy in the early 1990s [2], has increased the detection of latent, early-stage, and slow-growing tumors, contributing to the increasing overall survival in patients with PCa. Therefore, over 560,000 men living after a diagnosis of PCa are estimated in Italy in 2020 [3]. Cardiovascular disease is the most frequent cause of death among patients with a PCa diagnosis, especially in those with low-risk PCa [4]. Therefore, the identification of modifiable lifestyle factors affecting the long-term PCa prognosis is of great relevance.

Adherence to the Mediterranean diet has been consistently associated with reduced all-cause mortality in the general population, with similar associations across geographic areas [5]. However, life expectancy is dramatically reduced after cancer diagnosis; therefore, it is important to evaluate if a similar beneficial effect of adherence to the Mediterranean diet also applies to people with cancer. Despite the considerable number of studies investigating the Mediterranean diet in cancer etiology, only the Health Professionals Follow-up study [6] focused on survival, reporting a 22% reduction in risk of all-cause death in men with PCa who were highly adherent to the Mediterranean diet.

Physical activity has consistently been associated with lower overall mortality in men with PCa [7,8,9], as well as with lower PCa specific mortality [7,8,9,10]. Furthermore, physical activity may interact with dietary habits and potentially affect PCa prognosis. A recent study in cancer patients from the Third National Health and Nutrition Examination Survey (NHANES III) reported that a higher Healthy Eating Index and being physical active was associated with better survival [11]. Therefore, the present study aimed at investigating whether pre-diagnostic adherence to the Mediterranean Diet and physical activity were associated with PCa survival and whether an interaction between the two factors may exist.

2. Materials and Methods

This study analysed data from a retrospective cohort of men with PCa initially enrolled as cases in an Italian case-control study on the association between lifestyle factors and PCa risk [12]. Cohort participants were 780 consecutive patients aged 46–74 years (median age: 66 years) with incident, histologically confirmed PCa diagnosed in the period 1995–2002, resident in Friuli Venezia Giulia or in the Veneto region (northeastern Italy). None of the participants had prior cancer diagnosis or received previous cancer treatment. Pathological records were centrally reviewed by a pathologist to collect information on PCa characteristics at diagnosis, including Gleason score. Three patients with incomplete dietary data were excluded, thus leaving 777 patients [13].

During routine hospitalization for diagnosis or staging, PCa patients were interviewed by trained personnel using a structured questionnaire including information on socio-demographic characteristics, lifestyle habits, and personal medical history. Anthropometric measures were assessed by the interviewer during the interview; according to the definition by the World Health Organization [14], abdominal obesity was defined as waist circumference >102 cm, measured 2 cm above the umbilicus. For those lacking this information (56 men, 7.7%), a linear regression model predicting waist circumference from body mass index (BMI) was used to approximate abdominal obesity. In the present study cohort, the BMI value predicting abdominal obesity was >27.7 kg/m2 [15].

The habitual diet during the two years prior to cancer diagnosis was assessed through a validated and reproducible food-frequency questionnaire (FFQ) [13], including 78 foods, beverages, or recipes structured into seven sections. Participants were asked to indicate the average weekly frequency of consumption of each dietary item, reporting variation in seasonal consumption of fruit and vegetables. The serving size was defined in “natural” units—e.g., one egg (average weight: 65 g), one apple (average weight: 200 g)—or as an average serving in the Italian diet (e.g., 80 g of pasta, 150 g of tomatoes). Intakes lower than once a week but at least once a month were coded as 0.5 per week. Total energy and nutrient intakes were computed using the Italian food composition database [16].

Adherence to the Mediterranean diet was investigated using the Mediterranean Diet Score (MDS). This is an a priori score developed using nine dietary indicators [17]: high consumption of cereals, fruit, vegetables, legumes, fish, high monounsaturated/saturated fatty acids (MUFA/SFA) ratio, low consumption of dairy products (including milk) and meat, and moderate alcohol consumption. The nine dietary indicators were expressed in grams per week (g/week) and they were derived from the FFQ by summing the products of the weekly consumption of each food by its corresponding serving weight. High or low consumption was defined according to median value for all food parameters, except for alcohol intake; moderate alcohol consumption was defined as 1–3 drinks/day. For each study participant and each diet indicator, a value of 1 was assigned when the subject fulfilled the MDS requirement, 0 otherwise. The MDS was calculated adding up the values for each of the nine components; thus, the score ranged from 0 (representing minimal adherence) to 9 (maximal adherence).

Occupational and recreational physical activity were assessed in different periods of life (e.g., at 12 years, 15–19 years, 30–39 years, 50–59 years, and before diagnosis). Patients were asked to self-report intensity of activity at work (i.e., “very strenuous”, “strenuous”, “average”, “standing”, or “mainly sitting”) and during leisure time (i.e., <2, 2–4, 5–7, and >7 h per week) separately (Table S1). Overall physical activity was defined as “low”, “moderate” or “high” by combining occupational and recreational physical activities (Table S1). In the present analysis, physical activity prior to diagnosis was considered as the main exposure.

The vital status, the date, and the underlying cause of death (i.e., the condition that led to death) were ascertained up to 31 December 2017 through a record-linkage procedure with the population-based regional cancer registries of Friuli Venezia Giulia and Veneto regions [12]. Person-time at risk was computed as the time elapsed from the date of PCa diagnosis to the date of death, to end of follow-up, or to 31 December 2017 (i.e., censored data), whichever came first. To limit the bias of modification of physical activity with increasing age, the follow-up for the present analysis was truncated at 10 years.

An a priori power analysis was conducted to estimate the minimum detectable effect size, given the available number of 780 patients and α = 0.05. Splitting the study population into two equal groups (i.e., exposed and unexposed), the study had a power of 80% to detect an HR ≤ 0.79 when the event rate was 30% in the unexposed group (e.g., all-cause death), HR ≤ 0.78 when the event rate was 20% (e.g., non-PCa death), and HR ≤ 0.72 when event rate was 10% (e.g., PCa death).

Survival analysis was conducted separately for overall survival and cause-specific survival. The overall survival probabilities of PCa patients according to MDS and physical activity were estimated through the Kaplan-Meier method and survival differences were tested through the log-rank test [18]. Hazard ratios (HRs) of all-cause death and corresponding 95% confidence intervals (CIs) were estimated using Cox proportional hazards models [18]. To account for competing risks, cause-specific mortality was evaluated through cumulative incidence [19] and differences according to strata were tested through Gray’s test [19]. HRs were estimated through the Cox model, accounting for competitive risk according to the Fine–Gray model [19]. The proportional hazards assumption was assessed through the Schoenfeld residuals and including interactions with follow-up time [18]. HRs were adjusted for area of residence, year of cancer diagnosis (continuous), age at diagnosis (continuous), education (<7, 7–11, ≥12 years), Gleason score (2–6, 7, 8–10, unknown), smoking habits (never, former, current), abdominal obesity (no, yes), and total energy intake (kJ/day). Interaction between MDS and physical activity was tested through the estimation of relative excess risk due to interaction and the synergic index [20]. Statistical significance was claimed for p < 0.05 (two-tailed).

3. Results

At PCa diagnosis, 383 (49.3%) patients reported high adherence to the Mediterranean diet (MDS = 5–9); MDS correlated positively with education and inversely with current smoking (Table 1). High physical activity was reported by 346 men (44.5%); it correlated with lower education and higher total energy intake. Patients reporting higher MDS also reported lower intakes of animal fat, animal proteins, and saturated fatty acids together with higher intakes of unsaturated fatty acids, dietary fibre, α- and β-carotene, compared to patients reporting lower MDS (Table S2).

Table 1.

Distribution of 777 men diagnosed with prostate cancer, according to baseline characteristics, Mediterranean Diet Score (MDS) and physical activity. Italy, 1995–2002.

MDS Physical Activity
Low (0–4) High (5–9) Low/Moderate High
n (%) n (%) n (%) n (%)
Age (years)
<65 158 (40.1) 156 (40.7) 178 (41.3) 136 (39.3)
≥65 236 (59.9) 227 (59.3) 253 (58.7) 210 (60.7)
p = 0.858 p = 0.574
Education (years)
<7 230 (58.4) 166 (43.3) 162 (37.5) 234 (67.6)
7 to 11 94 (23.9) 133 (34.7) 157 (36.3) 71 (20.5)
≥12 70 (17.8) 84 (21.9) 113 (26.2) 41 (11.9)
p < 0.001 p < 0.001
Gleason score
2–6 195 (49.5) 200 (52.2) 232 (53.8) 163 (47.1)
7 83 (21.1) 81 (21.2) 92 (21.3) 72 (20.8)
8–10 73 (18.5) 47 (12.3) 59 (13.6) 61 (17.6)
Unknown 43 (10.9) 55 (14.4) 48 (11.1) 50 (14.5)
p = 0.071 p = 0.149
Tobacco smoking
Never 121 (30.7) 104 (27.2) 125 (29.0) 100 (28.9)
Former 185 (47.0) 214 (55.9) 219 (50.8) 180 (52.0)
Current 88 (22.3) 65 (17.0) 87 (20.2) 66 (19.1)
p = 0.035 p = 0.916
Central obesity a
No 256 (65.0) 254 (66.3) 281 (65.2) 229 (66.2)
Yes 138 (35.0) 129 (33.7) 150 (34.8) 117 (33.8)
p = 0.693 p = 0.773
Total energy intake (kJ)
<9811 133 (33.8) 125 (32.6) 178 (41.3) 80 (23.1)
9811 to <12,502 130 (33.0) 129 (33.7) 151 (35.0) 108 (31.2)
≥12,502 131 (33.3) 129 (33.7) 102 (23.7) 158 (45.7)
p = 0.946 p < 0.001

a Defined as waist circumference >102 cm (or BMI >27.7 kg/m2 when information on waist was missing).

During the 10-year follow-up, 208 patients (26.8%) died, with a median time to death of 6.3 years. PCa was the leading cause of death in 75 patients (36.1%), and death was attributed to other causes in 133 patients (63.9%). Among the latter, 66 patients died from a second cancer, 37 from cardiovascular diseases, and 30 from miscellaneous conditions or injuries. Patients highly adherent to the Mediterranean diet reported a better overall survival than those who had low adherence (p < 0.01; Figure 1), with a 10-year survival probability of 76.5% and 65.5% for high and low MDS adherence, respectively (Table 2). The advantage in overall survival in men with high MDS compared to low MDS was confirmed by multivariate analysis (Table 2), with HR = 0.74 (95% CI: 0.56–0.99). Survival curves according to physical activity level at the time of diagnosis were largely overlapping, and no significant difference was observed (p = 0.408; Figure 1). However, after accounting for potential confounders, the multivariate analysis found a 21% non-significant reduction (95% CI: 0.59–1.07) for men with a high physical activity level before diagnosis. No significant association emerged for physical activity in other periods of life, i.e., at ages 15–19 years (HR = 1.06; 95% CI: 0.76–1.49), 30–39 years (HR = 0.91; 95% CI: 0.67–1.23) and 50–59 years (HR = 0.88; 95% CI: 0.65–1.20; data not shown). Interestingly, physically active men who were highly adherent to the Mediterranean diet reported a lower risk of all-cause death (HR = 0.58; 95% CI: 0.38–0.90) compared to those with low MDS and low/moderate physical activity (Table 2). However, no significant additive or synergic effect was observed (pinteraction = 0.247).

Figure 1.

Figure 1

Kaplan–Meier estimates of survival in 777 men diagnosed with prostate cancer, according to Mediterranean Diet Score and physical activity.

Table 2.

Kaplan–Meier estimates of survival and hazard ratios (HR) of death and corresponding 95% confidence intervals (CI), among 777 men diagnosed with prostate cancer, according to Mediterranean Diet Score and physical activity. Italy, 1995–2002.

Score Patients Deaths Survival Probabilities HR (95% CI) a
n (%) 5 Years 10 Years 15 Years
Mediterranean Diet Score
Low (0–4) 394 180 (45.7) 86.3% 69.5% 50.7% Reference
High (5–9) 383 151 (39.4) 92.4% 76.5% 57.3% 0.80 (0.60–1.00)
Physical activity
Low/Moderate 389 183 (47.0) 87.6% 69.3% 49.5% Reference
High 388 148 (38.1) 91.0% 76.6% 58.5% 0.79 (0.63–0.98)
Mediterranean Diet Score and Physical activity
Low and Low/Moderate 197 66 (33.5) 89.8% 84.2% 66.2% Reference
Low and High 197 53 (26.9) 94.9% 88.3% 72.8% 0.70 (0.48 to 1.02)
High and Low/Moderate 234 55 (23.5) 97.0% 92.7% 76.3% 0.66 (0.46 to 0.95)
High and High 149 34 (22.8) 94.0% 91.3% 76.9% 0.58 (0.38 to 0.90)

a Estimated using Cox proportional hazard model adjusted for area of residence at diagnosis, calendar period of cancer diagnosis, age at diagnosis, years of education, Gleason score, abdominal obesity, tobacco smoking, and total energy intake.

Men with higher adherence to the Mediterranean diet experienced significantly lower cumulative incidence of non-PCa specific death (p = 0.040; Figure 2), but not PCa specific death (p = 0.445). No significant difference in both PCa specific and non-PCa specific mortality was found according to physical activity level (Figure 2). In a multivariate model, neither high MDS nor high physical activity alone were significantly associated with PCa-specific mortality, but HRs for non-PCa mortality were of borderline significance (Table 3). Notably, the risk of death due to non-PCa related causes was almost halved (HR = 0.51; 95% CI: 0.29–0.91) in physically active men highly adherent to the Mediterranean diet and compared to those scarcely adherent to the Mediterranean diet and with low/moderate physical activity level (Table 3).

Figure 2.

Figure 2

Cumulative incidence of prostate cancer and non-prostate cancer death among 777 men diagnosed with prostate cancer, according to Mediterranean Diet Score and physical activity.

Table 3.

Hazard ratios (HR) a for prostate cancer (PCa) and non-PCa mortality, with corresponding 95% confidence intervals (CI), among 777 men diagnosed with prostate cancer, according to adherence to Mediterranean Diet Score and physical activity. Italy, 1995–2002.

Score Patients PCa Mortality Non-PCa Mortality
Events HR (95% CI) Events HR (95% CI)
n (%) n (%)
Mediterranean Diet Score
Low (0–4) 394 41 (10.4) Reference 78 (19.8) Reference
High (5–9) 383 34 (8.9) 0.83 (0.53 to 1.31) 55 (14.4) 0.73 (0.51 to 1.05)
Physical activity
Low/Moderate 427 40 (9.4) Reference 81 (19.0) Reference
High 346 35 (10.1) 0.95 (0.57 to 1.59) 52 (15.0) 0.72 (0.49 to 1.08)
Mediterranean Diet Score and Physical activity
Low and Low/Moderate 197 21 (10.7) Reference 45 (22.8) Reference
Low and High 197 19 (8.1) 0.85 (0.44 to 1.65) 36 (15.4) 0.67 (0.41 to 1.10)
High and Low/Moderate 234 20 (10.2) 0.75 (0.41 to 1.38) 33 (16.8) 0.68 (0.43 to 1.07)
High and High 149 15 (10.0) 0.79 (0.40 to 1.59) 19 (12.8) 0.51 (0.29 to 0.91)

a Estimated using Cox proportional hazard model adjusted for age at diagnosis, years of education, Gleason score, abdominal obesity, smoking habits, and total energy intake. Competitive risks were accounted according to Fine-Gray model.

4. Discussion

The results of the present study support a beneficial effect of pre-diagnostic adherence to the Mediterranean diet and physical activity in reducing the risk of death in men with PCa. Notably, the risk of death after PCa diagnosis, in particular for non-PCa related causes, was almost halved in men adherent to the Mediterranean diet who were also physically active at the time of cancer diagnosis.

Adherence to the Mediterranean diet has been associated with reduced incidence of several health outcomes [21], including overall and cancer mortality [5,21]. Nonetheless, very few studies have been conducted on survival in cancer patients. Patients adherent to the Mediterranean diet reported better prognosis after colorectal cancer [22] and post-menopausal breast cancer [23]. Only one study focused on prostate cancer [6], reporting a mortality risk reduction similar to that found in our study. Conversely, the present study did not find an association between Mediterranean diet and PCa-specific mortality. No study investigated Mediterranean diet in relation to this outcome, but indirect evidence emerged from interventional studies on specific nutritional supplements which did not find an association with PCa progression or mortality [24].

Physical inactivity is a major risk factor for mortality, mainly due to increased cardiovascular and cancer mortality [25,26]; however, the advantage in overall survival compared to inactive people is generally appreciable for vigorous rather than for moderate physical activity [25,26]. Cohort studies consistently reported approximately 40% reduction in PCa mortality in physically active men, despite the diverse methods for assessing physical activity [9,10]. Interestingly, a similar beneficial effect of physical activity was reported for patients with breast and colorectal cancer [27]. Consistently, physical activity was also associated with reduced overall mortality [7,8,9,10].

The Mediterranean diet and physical activity share some common mechanisms which may explain the reduction in mortality in PCa patients. These pathways involve insulin, insulin-like growth factors (IGF), and inflammation. Barnard and colleagues [28,29] reported that the combination of low-fat, high-fibre diets and intense daily physical activity lowered serum insulin levels and insulin resistance while increasing IGF binding protein 1. Although some reduction of growth factors levels was appreciable with physical activity alone, the effect was magnified by the introduction of the low-fat, high-fibre diet in the study by Barnard et al. [28]. Interestingly, when serum from men enrolled in the dietary study by Barnard and colleagues was used to grow PCa epithelial cells, the authors reported that the low-fat, high-fibre diet and intense daily physical activity induced a reduction in growth of PCa epithelial cells and androgen-sensitive PCa cells [29], as well as their apoptosis [28].

Data on modifications of diet, physical activity, and weight after PCa diagnosis were not assessed in the present study. However, it is unlikely that changes in dietary habits had occurred in the Italian male population at that time and at their age since the general population had not been made aware of any putative association between diet and cancer survival, and no dietary guidelines existed for patients with PCa. Furthermore, studies investigating dietary modifications after PCa diagnosis did not report substantial changes in the mean intake of foods [30]. Regarding physical activity, it is plausible that the intensity may be lower with increasing age, thus producing misclassification, even if physically active men at cancer diagnosis have a greater chance to remain active thereafter. To limit this possible source of bias, the analysis was truncated at 10 years after diagnosis. Nonetheless, this misclassification bias was likely to reduce the estimated effect of physical activity rather than enhance it, so that our risk estimates were conservative. It is worth noting that results from the CPS-II Nutrition Cohort [9] showed a similar beneficial effect of pre-diagnostic and post-diagnostic recreational physical activity in men with Gleason 2–7 PCa. However, modification in physical activity level after PCa may vary according to disease severity, since patients with advanced cancer may be cachexic and unable to maintain the physical activity level assessed at the time of diagnosis. Finally, the lack of specific information on type and intensity of physical activity may have produced information bias. The lack of some relevant clinical information (e.g., PSA at diagnosis, staging) and treatments type and completion should also be recognized among the study limitations. However, our model included Gleason score as a covariate; although it is not a perfect prognostic factor, it is quite a reliable indicator of disease severity and an acceptable predictor of prostate cancer mortality in observational studies [31]. Furthermore, men highly adherent to the Mediterranean diet reported higher education, thus influencing their need for treatment and affecting their survival differently than men with lower adherence to the Mediterranean diet. Selection bias may also have occurred, but it was minimized in the original study by including all newly diagnosed PCa patients consecutively admitted to the major local hospitals in the study areas with a refusal rate of approximately 4%. Patients lost at follow-up were below 3%. Therefore, our study population was representative of men with PCa in the study areas [32]. Finally, a post hoc power analysis revealed low power (i.e., a type II error probability of about 30%) for PCa-specific survival, which calls for caution in interpreting the results.

5. Conclusions

Consistently with many prior studies, albeit few in cancer survivors, findings of the present study support the beneficial impact of pre-diagnostic adherence to the Mediterranean diet and physical activity on overall survival after prostate cancer diagnosis, mainly due to lower non-PCa specific mortality. Although we found no suggestion that the Mediterranean diet was associated with reduced cancer-specific mortality, these findings support trials to test whether this diet can reduce non-PCa-specific mortality, which accounts for about 82% of deaths in men with PCa [4].

Acknowledgments

The authors wish to thank Luigina Mei, Unit of Cancer Epidemiology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, for editorial assistance.

Supplementary Materials

The following are available online at https://www.mdpi.com/2072-6643/13/1/243/s1, Table S1: Definition of physical activity according to levels of recreational and occupational physical activity; Table S2: Nutrients median values and interquartile range (Q1-Q3), among 777 men diagnosed with prostate cancer, according to according to Mediterranean Diet Score (MDS) and physical activity. Italy, 1995–2002

Author Contributions

Conceptualization, J.P., D.S. and L.D.M.; methodology, J.P. and L.D.M.; formal analysis, M.D.M.; data curation, F.T. and C.S.; writing—original draft preparation, M.D.M., L.S.A.A. and J.P.; supervision, D.J.A.J. and N.E.F.; funding acquisition, L.D.M. All authors have read and agreed to the published version of the manuscript.

Funding

This work was partially funded by the Italian Association for Research on Cancer (AIRC IG No. 1468) and by Italian Ministry of Health (Ricerca Corrente) [no grant number provided].

Institutional Review Board Statement

Study protocol was approved by the Board of Ethics of the CRO Aviano National Cancer Institute.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study before enrolment.

Data Availability Statement

Data is available for research purpose upon reasonable request to the corresponding author.

Conflicts of Interest

DJAJ has received research grants from Saskatchewan & Alberta Pulse Growers Associations, the Agricultural Bioproducts Innovation Program through the Pulse Research Network, the Advanced Foods and Material Network, Loblaw Companies Ltd., Unilever Canada and Netherlands, Barilla, the Almond Board of California, Agriculture and Agri-food Canada, Pulse Canada, Kellogg’s Company, Canada, Quaker Oats, Canada, Procter & Gamble Technical Centre Ltd., Bayer Consumer Care, Springfield, NJ, Pepsi/Quaker, International Nut & Dried Fruit (INC), Soy Foods Association of North America, the Coca-Cola Company (investigator initiated, unrestricted grant), Solae, Haine Celestial, the Sanitarium Company, Orafti, the International Tree Nut Council Nutrition Research and Education Foundation, the Peanut Institute, Soy Nutrition Institute (SNI), the Canola and Flax Councils of Canada, the Calorie Control Council, the Canadian Institutes of Health Research (CIHR), the Canada Foundation for Innovation (CFI)and the Ontario Research Fund (ORF). He has received in-kind supplies for trials as a research support from the Almond board of California, Walnut Council of California, American Peanut Council, Barilla, Unilever, Unico, Primo, Loblaw Companies, Quaker (Pepsico), Pristine Gourmet, Bunge Limited, Kellogg Canada, WhiteWave Foods. He has been on the speaker's panel, served on the scientific advisory board and/or received travel support and/or honoraria from the Almond Board of California, Canadian Agriculture Policy Institute, Loblaw Companies Ltd, the Griffin Hospital (for the development of the NuVal scoring system), the Coca-Cola Company, EPICURE, Danone, Diet Quality Photo Navigation (DQPN), Better Therapeutics (FareWell), Verywell, True Health Initiative (THI), Heali AI Corp, Institute of Food Technologists (IFT), Soy Nutrition Institute (SNI), Herbalife Nutrition Institute (HNI), Saskatchewan & Alberta Pulse Growers Associations, Sanitarium Company, Orafti, the American Peanut Council, the International Tree Nut Council Nutrition Research and Education Foundation, the Peanut Institute, Herbalife International, Pacific Health Laboratories, Nutritional Fundamentals for Health (NFH), Barilla, Metagenics, Bayer Consumer Care, Unilever Canada and Netherlands, Solae, Kellogg, Quaker Oats, Procter & Gamble, Abbott Laboratories, Dean Foods, the California Strawberry Commission, Haine Celestial, PepsiCo, the Alpro Foundation, Pioneer Hi-Bred International, DuPont Nutrition and Health, Spherix Consulting and WhiteWave Foods, the Advanced Foods and Material Network, the Canola and Flax Councils of Canada, Agri-Culture and Agri-Food Canada, the Canadian Agri-Food Policy Institute, Pulse Canada, the Soy Foods Association of North America, the Nutrition Foundation of Italy (NFI), Nutra-Source Diagnostics, the McDougall Program, the Toronto Knowledge Translation Group (St. Michael’s Hospital), the Canadian College of Naturopathic Medicine, The Hospital for Sick Children, the Canadian Nutrition Society (CNS), the American Society of Nutrition (ASN), Arizona State University, Paolo Sorbini Foundation and the Institute of Nutrition, Metabolism and Diabetes. He received an honorarium from the United States Department of Agriculture to present the 2013 W.O. Atwater Memorial Lecture. He received the 2013 Award for Excellence in Research from the International Nut and Dried Fruit Council. He received funding and travel support from the Canadian Society of Endocrinology and Metabolism to produce mini cases for the Canadian Diabetes Association (CDA). He is a member of the International Carbohydrate Quality Consortium (ICQC). His wife, Alexandra L Jenkins, is a director and partner of INQUIS Clinical Research for the Food Industry, his 2 daughters, Wendy Jenkins and Amy Jenkins, have published a vegetarian book that promotes the use of the foods described here, The Portfolio Diet for Cardiovascular Risk Reduction (Academic Press/Elsevier 2020 ISBN:978-0-12-810510-8)and his sister, Caroline Brydson, received funding through a grant from the St. Michael’s Hospital Foundation to develop a cookbook for one of his studies. LSA has received an honorarium from the Nutrition Foundation of Italy (NFI) to co-organize a glycemic index summit. All other Authors declare no conflict of interests. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

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References

  • 1.Ferlay J., Ervik M., Lam F., Colombet M., Mery L., Piñeros M., Znaor A., Soerjomataram I., Bray F. Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. [(accessed on 11 January 2021)];2020 Available online: https://gco.iarc.fr/today.
  • 2.Quaglia A., Vercelli M., Puppo A., Casella C., Artioli E., Crocetti E., Falcini F., Ramazzotti V., Tagliabue G., Prostate Cancer Working Group Prostate cancer in Italy before and during the ‘PSA era’: Serviva trend and prognostic determinants. Eur. J. Cancer Prev. 2003;12:145–152. doi: 10.1097/00008469-200304000-00008. [DOI] [PubMed] [Google Scholar]
  • 3.Guzzinati S., Virdone S., De Angelis R., Panato C., Buzzoni C., Capocaccia R., Francisci S., Gigli A., Zorzi M., Tagliabue G., et al. Characteristics of people living in Italy after a cancer diagnosis in 2010 and projections to 2020. BMC Cancer. 2018;18:169. doi: 10.1186/s12885-018-4053-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Van Hemelrijck M., Folkvaljon Y., Adolfsson J., Akre O., Holmberg L., Garmo H., Stattin P. Causes of death in men with localized prostate cancer: A nationwide, population-based study. BJU Int. 2016;117:507–514. doi: 10.1111/bju.13059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Eleftheriou D., Benetou V., Trichopoulou A., La Vecchia C., Bamia C. Mediterranean diet and its components in relation to all-cause mortality: Meta-analysis. Br. J. Nutr. 2018;120:1081–1097. doi: 10.1017/S0007114518002593. [DOI] [PubMed] [Google Scholar]
  • 6.Kenfield S.A., DuPre N., Richman E.L., Stampfer M.J., Chan J.M., Giovannucci E.L. Mediterranean diet and prostate cancer risk and mortality in the Health Professionals Follow-up Study. Eur. Urol. 2014;65:887–894. doi: 10.1016/j.eururo.2013.08.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kenfield S.A., Stampfer M.J., Giovannucci E., Chan J.M. Physical activity and survival after prostate cancer diagnosis in the Health Professionals Follow-Up Study. J. Clin. Oncol. 2011;29:726–732. doi: 10.1200/JCO.2010.31.5226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Bonn S.E., Sjölander A., Lagerros Y.T., Wiklund F., Stattin P., Holmberg E., Grönberg H., Bälter K. Physical activity and survival among men diagnosed with prostate cancer. Cancer Epidemiol. Biomaker Prev. 2014;24:57–64. doi: 10.1158/1055-9965.EPI-14-0707. [DOI] [PubMed] [Google Scholar]
  • 9.Friedenreich C.M., Wang Q., Neilson H.K., Kopciuk K.A., McGregor S.E., Courneya K.S. Physical activity and survival after prostate cancer. Eur. Urol. 2016;70:576–585. doi: 10.1016/j.eururo.2015.12.032. [DOI] [PubMed] [Google Scholar]
  • 10.Wang Y., Jacobs E.J., Gapstur S.M., Maliniak M.L., Gansler T., McCullough M.L., Stevens V.L., Patel A.V. Recreational physical activity in relation to prostate cancer-specific mortality among men with nonmetastatic prostate cancer. Eur. Urol. 2017;72:931–939. doi: 10.1016/j.eururo.2017.06.037. [DOI] [PubMed] [Google Scholar]
  • 11.Karavasiloglou N., Pestoni G., Wanner M., Faeh D., Rohrmann S. Healthy lifestyle is inversely associated with mortality in cancer survivors: Results from the Third National Health and Nutrition Examination Survey (NHANES III) PLoS ONE. 2019;14:e0218048. doi: 10.1371/journal.pone.0218048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Polesel J., Gini A., Dal Maso L., Stocco C., Birri S., Taborelli M., Serraino D., Zucchetto A. The negative impact of tobacco smoking on survival after prostate cancer diagnosis. Cancer Causes Control. 2015;26:299–305. doi: 10.1007/s10552-015-0624-2. [DOI] [PubMed] [Google Scholar]
  • 13.Taborelli M., Polesel J., Parpinel M., Stocco C., Birri S., Serraino D., Zucchetto A. Fruit and vegetables consumption is directly associated to survival after prostate cancer. Mol. Nutr. Food Res. 2017;61:1600816. doi: 10.1002/mnfr.201600816. [DOI] [PubMed] [Google Scholar]
  • 14.World Health Organization . Obesity: Preventing and Managing the Global Epidemic: Report on a WHO Consultation. World Health Organization; Geneva, Switzerland: 2000. (WHO Technical Report Series 894). [PubMed] [Google Scholar]
  • 15.Zucchetto A., Gini A., Shivappa N., Hébert J.R., Stocco C., Dal Maso L., Birri S., Serraino D., Polesel J. Dietary inflammatory index and prostate cancer survival. Int. J. Cancer. 2016;139:2398–2404. doi: 10.1002/ijc.30208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Gnagnarella P., Parpinel M., Salvini S., Franceschi S., Palli D., Boyle P. The update of the Italian Food Composition Database. J. Food Comp. Anal. 2004;17:509–522. doi: 10.1016/j.jfca.2004.02.009. [DOI] [Google Scholar]
  • 17.Trichopoulou A., Costacou T., Bamia C., Trichopoulos D. Adherence to a Mediterranean diet and survival in a Greek population. N. Engl. J. Med. 2003;348:2599–2608. doi: 10.1056/NEJMoa025039. [DOI] [PubMed] [Google Scholar]
  • 18.Kalbfleisch J.D., Prentice R.L. The Statistical Analysis of Failure Time Data. Wiley; New York, NY, USA: 2002. [Google Scholar]
  • 19.Fine J.P., Gray R.J. A proportional hazard model for the subdistribution of a competing risk. J. Am. Stat. Ass. 1999;94:496–509. doi: 10.1080/01621459.1999.10474144. [DOI] [Google Scholar]
  • 20.Li R., Chambless L. Test for additive interaction in proportional hazard models. Ann. Epidemiol. 2007;17:117–236. doi: 10.1016/j.annepidem.2006.10.009. [DOI] [PubMed] [Google Scholar]
  • 21.Dinu M., Pagliai G., Sofi F. Mediterranean diet and multiple health outcomes: An umbrella review of meta-analyses of observational studies and randomized trials. Eur. J. Clin. Nutr. 2018;72:30–43. doi: 10.1038/ejcn.2017.58. [DOI] [PubMed] [Google Scholar]
  • 22.Ratjen I., Schafmayer C., di Giuseppe R., Waniek S., Plachta-Danielzik S., Koch M., Nöthlings U., Hampe J., Schlesinger S., Lieb W. Postdiagnostic Mediterranean and Healthy Nordic dietary pattern are inversely associated with all-cause mortality in long-term colorectal cancer survivors. J. Nutr. 2017;147:636–644. doi: 10.3945/jn.116.244129. [DOI] [PubMed] [Google Scholar]
  • 23.Kim E.H., Willett W.C., Fung T., Rosner B., Holmes M.D. Diet quality indices and postmenopausal breast cancer survival. Nutr. Cancer. 2011;63:381–388. doi: 10.1080/01635581.2011.535963. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Hackshaw-McGeagh L.E., Perry R.E., Leach V.A., Qandil S., Jeffreys M., Martin R.M., Lane J.A. A systemic review of dietary, nutritional, and physical activity interventions for the prevention of prostate cancer progression and mortality. Cancer Cause Control. 2015;26:1521–1550. doi: 10.1007/s10552-015-0659-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Rey Lopez J.P., Gebel K., Chia D., Stamatakis E. Association of vigorous physical activity with all-cause, cardiovascular and cancer mortality among 64913 adults. BMJ Open Sport Exerc. Med. 2019;5:e000596. doi: 10.1136/bmjsem-2019-000596. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Hibler E.A., Zhu X., Shrubsole M., Hou L., Dai Q. Physical activity, dietary calcium to magnesium intake and mortality in the National Health and Examination Survey 1999-2006 cohort. Int. J. Cancer. 2020;146:2979–2986. doi: 10.1002/ijc.32634. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Friedenreich C.M., Neilson H.K., Farris M.S., Courneya K.S. Physical activity and cancer outcomes: A precision medicine approach. Clin. Cancer Res. 2016;22:4766–4775. doi: 10.1158/1078-0432.CCR-16-0067. [DOI] [PubMed] [Google Scholar]
  • 28.Barnard R.J., Ngo T.H., Leung P.S., Aronson W.J., Golding L.A. A low-fat diet and/or strenuous exercise alters the IGF axis in vivo and reduces prostate tumor cell growth in vitro. Prostate. 2003;56:50150–50156. doi: 10.1002/pros.10251. [DOI] [PubMed] [Google Scholar]
  • 29.Barnard R.J., Kobayashi N., Aronson W.J. Effect of diet and exercise intervention on the growth of prostate epithelial cells. Prostate Cancer Prostatic Dis. 2008;11:362–366. doi: 10.1038/pcan.2008.6. [DOI] [PubMed] [Google Scholar]
  • 30.Avery K.N., Donovan J.L., Gilbert R., Davis M., Emmett P., Down L., Oliver S., Neal D.E., Hamdy F.C., Lane J.A. Men with prostate cancer make positive dietary changes following diagnosis and treatment. Cancer Causes Control. 2013;24:1119–1128. doi: 10.1007/s10552-013-0189-x. [DOI] [PubMed] [Google Scholar]
  • 31.Rubin M.A., Girelli G., Demichelis F. Genomic correlates to the newly proposed grading prognostic groups for prostate cancer. Eur. Urol. 2016;69:557–560. doi: 10.1016/j.eururo.2015.10.040. [DOI] [PubMed] [Google Scholar]
  • 32.Registro Tumori del Friuli Venezia Giulia Dati di incidenza, 1999–2003. [(accessed on 18 December 2020)]; Available online: http://www.cro.sanita.fvg.it/opencms/export/sites/cro/it/_organigramma/_docs/Registro-Tumori-FVG-1999_2003.pdf.

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Data Availability Statement

Data is available for research purpose upon reasonable request to the corresponding author.


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