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).
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).
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).
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].
Figure 1. Kaplan-Meier estimates of survival in 777 men diagnosed with prostate cancer, according to Mediterranean Diet Score and physical activity.
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.
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).
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.
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.
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.
Acknowledgments
The authors wish to thank Luigina Mei, Unit of Cancer Epidemiology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, for editorial assistance.
Conflicts of Interest
DJAJ has received research grants from Saskatchewan Pulse Growers, the Agricultural Bioproducts Innovation Program through the Pulse Research Network, the Advanced Foods and Material Network, Loblaw Companies Ltd., Unilever, 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, the Canola and Flax Councils of Canada, the Calorie Control Council (CCC), the CIHR, the Canada Foundation for Innovation and the Ontario Research Fund. 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, Saskatchewan Pulse Growers, Sanitarium Company, Orafti, the Almond Board of California, the American Peanut Council, the International Tree Nut Council Nutrition Research and Education Foundation, the Peanut Institute, Herbalife International, Pacific Health Laboratories, Nutritional Fundamental for Health, Barilla, Metagenics, Bayer Consumer Care, Unilever Canada and Netherlands, Solae, Kellogg, Quaker Oats, Procter & Gamble, the Coca-Cola Company, the Griffin Hospital, Abbott Laboratories, the Canola Council of Canada, 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, the Nutritional Fundamentals for Health, Agri-Culture and Agri-Food Canada, the Canadian Agri-Food Policy Institute, Pulse Canada, the Saskatchewan Pulse Growers, 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 US 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 is a director and partner of Glycemic Index Laboratories, Inc., and his sister 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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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 and
Jerry Polesel
3,*
1Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology “G.A. Maccacaro”, Università degli Studi di Milano, via A. Vanzetti 5, 20133 Milan, Italy
2Epidemiology and Biostatistics Unit, Istituto Nazionale Tumori–IRCCS–“Fondazione G. Pascale”, via M. Semmola 1, 80131 Naples, Italy
3Unit of Cancer Epidemiology, Centro di Riferimento Oncologico di Aviano IRCCS, via F. Gallini 2, 33081 Aviano, Italy
4Venetian Cancer Registry, Veneto Region, via J. Avanzo 35, 35131 Padua, Italy
5Departments of Nutritional Science and Medicine, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
6Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
7Division of Endocrinology and Metabolism, Department of Medicine, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
8Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
9Division of Urology, Department of Surgical Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada
*Author to whom correspondence should be addressed.
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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.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer