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It has been suggested that there is a link between the dietary intake of certain nutrients and the risk of prostate cancer. The aim of this study is to examine the associations between dietary intakes of all nutrients and the risk of prostate cancer in Kermanshah.

This case-control study was conducted in Kermanshah, a province in the west of Iran in November of 2016. The sample consisted of 50 patients with confirmed prostate cancer, and 150 healthy men who matched in age with these cases and did not have any symptoms of prostate disorder were chosen as controls. Dietary intakes were collected by a semi-quantitative food frequency questionnaire that contained 147 food items and were then analyzed by Nutritionist 4 software.

After adjustment for potential confounding factor, highest tertile compared to lowest tertile of dietary vitamin E intake [odds ratio (OR) = 0.21; 95% confidence interval (CI) = 0.05-0.89], lycopene intake (OR = 0.11; 95% CI = 0.01-0.86) and magnesium intake (OR = 0.02; 95% CI = 0.01-0.55) had a protective effect on the incidence of prostate cancer. However, there were no associations between dietary intakes of fiber, vitamin A, vitamin D, vitamin B₁₂, folate and calcium with prostate cancer.

The finding suggests that the dietary intakes of vitamin E, lycopene and magnesium could decrease the risk of prostate cancer. Nevertheless, dietary intake of other nutrients such as fiber, calcium, vitamins D, A, B₁₂ and folate was not associated with prostate cancer.

This study has mainly aimed to compare and contrast two completely different image processing algorithms that are very adaptive for detecting prostate cancer using wearable Internet of Things (IoT) devices. Cancer in these modern times is still considered as one of the most dreaded disease, which is continuously pestering the mankind over a past few decades. According to Indian Council of Medical Research, India alone registers about 11.5 lakh cancer related cases every year and closely up to 8 lakh people die with cancer related issues each year. Earlier the incidence of prostate cancer was commonly seen in men aged above 60 years, but a recent study has revealed that this type of cancer has been on rise even in men between the age groups of 35 and 60 years as well. These findings make it even more necessary to prioritize the research on diagnosing the prostate cancer at an early stage, so that the patients can be cured and can lead a normal life.

The research focuses on two types of feature extraction algorithms, namely, scale invariant feature transform (SIFT) and gray level co-occurrence matrix (GLCM) that are commonly used in medical image processing, in an attempt to discover and improve the gap present in the potential detection of prostate cancer in medical IoT. Later the results obtained by these two strategies are classified separately using a machine learning based classification model called multi-class support vector machine (SVM). Owing to the advantage of better tissue discrimination and contrast resolution, magnetic resonance imaging images have been considered for this study. The classification results obtained for both the SIFT as well as GLCM methods are then compared to check, which feature extraction strategy provides the most accurate results for diagnosing the prostate cancer.

The potential of both the models has been evaluated in terms of three aspects, namely, accuracy, sensitivity and specificity. Each model’s result was checked against diversified ranges of training and test data set. It was found that the SIFT-multiclass SVM model achieved a highest performance rate of 99.9451% accuracy, 100% sensitivity and 99% specificity at 40:60 ratio of the training and testing data set.

The SIFT-multi SVM versus GLCM-multi SVM based comparison has been introduced for the first time to perceive the best model to be used for the accurate diagnosis of prostate cancer. The performance of the classification for each of the feature extraction strategies is enumerated in terms of accuracy, sensitivity and specificity.

The incidence of prostate cancer is increasing from the past few decades. Various studies have tried to determine the survival of patients, but metastatic prostate cancer is still not extensively explored. The survival rate of metastatic prostate cancer is very less compared to the earlier stages. The study aims to investigate the survivability of metastatic prostate cancer based on the age group to which a patient belongs, and the difference between the significance of the attributes for different age groups.

Data of metastatic prostate cancer patients was collected from a cancer hospital in India. Two predictive models were built for the analysis-one for the complete dataset, and the other for separate age groups. Machine learning was applied to both the models and their accuracies were compared for the analysis. Also, information gain for each model has been evaluated to determine the significant predictors for each age group.

The ensemble approach gave the best results of 81.4% for the complete dataset, and thus was used for the age-specific models. The results concluded that the age-specific model had the direct average accuracy of 83.74% and weighted average accuracy of 79.9%, with the highest accuracy levels for age less than 60.

The study developed a model that predicts the survival of metastatic prostate cancer based on age. The study will be able to assist the clinicians in determining the best course of treatment for each patient based on ECOG, age and comorbidities.

This study aimed to describe men's knowledge of prostate cancer and the factors associated with these knowledge levels at selected regions in Western Sydney. The study was a descriptive, quantitative design using a postal survey of men over 40 years of age. A questionnaire consisting of 19 items that addressed areas of knowledge related to prostate cancer was used. The men in this study needed more information about risk factors for prostate cancer, screening techniques and treatment regimens and their side effects. This study has shown that if men are to make informed decisions about prostate cancer screening, it is important to have some form of decision aid on prostate cancer screening available to them.

Prostate cancer is the most common cancer diagnosed in men in the UK. Black men are in a higher prostate cancer risk group possibly due to inherent genetic factors. The purpose of this paper is to introduce PROstate Cancer Evaluation and Education (PROCEE), an innovative serious game aimed at providing prostate cancer information and risk evaluation to black African-Caribbean men.

PROCEE has been carefully co-designed with prostate cancer experts, prostate cancer patients and members of the black African-Caribbean community in order to ensure that it meets the real needs and expectations of the target audience.

During the co-design process, the users defined an easy to use and entertaining game which can effectively raise awareness, inform users about prostate cancer and their risk, and encourage symptomatic men to seek medical attention in a timely manner.

During focus group evaluations, users embraced the game and emphasised that it can potentially have a positive impact on changing user behaviour among high risk men who are experiencing symptoms and who are reluctant to visit their doctor.

Research has shown that dietary factors can mediate the transformation of latent prostate cancer into clinically apparent cancers. This paper aims to review the evidence from studies on nutrition and prostate cancer.

A literature review of studies on nutrition and cancer was undertaken.

The data showed that deficiencies in trace elements and vitamins may lead to an increased risk of prostate cancer.

The paper shows that there appears to be a clear link with aspects of vitamin and mineral deficiencies and prostate cancer and the area merits more work.

Prostate and colorectal cancer (CRC) rates are disproportionately high among African‐American men. The purpose of this paper is to describe the development of an intervention in which barbers were trained to educate clients about early detection for prostate and CRC.

Working with an advisory panel of local barbers, cancer survivors and clients, educational materials are developed and pilot tested through use of focus groups and cognitive response interviews.

The advisory panel, focus groups, and interviews provide key recommendations for core content, intervention structure, and evaluation strategies. The men suggest a variety of things they want to know about prostate cancer, however the perceived need for CRC information is much broader, suggesting a knowledge gap. The men prefer print materials that are brief, use graphics of real African‐American men, and provide a telephone number they can call for additional information.

Community involvement is key in developing a well‐accepted and culturally‐relevant intervention.

The paper usefully describes the process of developing and pilot testing educational materials for use in an intervention in which barbers would be trained as community health advisors, to educate their clients about CRC screening and informed decision making for prostate cancer screening.

Alternative Healthy Eating Index (AHEI)-2010, an index that determines the quality of a diet, was created to predict the risk of chronic diseases. Nevertheless, it is unclear whether this index can predict the risk of prostate cancer, one of the most prevalent cancers among men around the world. The study aims to investigate the association between adherence to the AHEI-2010 and the risk of prostate cancer in Iranian men.

The case–control study was conducted in Kermanshah, Iran in the year 2016. The study included 50 cases of Iranian men with prostate cancer and 150 healthy controls. Anthropometric indices were measured by bioelectric impedance analysis (BIA). The AHEI-2010 included 11 food components that were assessed by using a 147-item food frequency questionnaire. A multivariate logistic regression was performed to analyze the association of the AHEI-2010 (expressed as a dichotomous variable) with prostate cancer.

As per the analysis, there were no significant differences in age, body mass index (BMI) and waist-to-hip ratio (WHR) between case and control groups, statistically. After adjustment for potential confounders, the higher AHEI-2010 scores were associated with a lower risk of prostate cancer (OR AHEI > 55 vs ≤ 55 = 0.26; 95% CI: 0.11-0.63). Moreover, the Mean of AHEI scores was higher in controls than in the cases (p < 0.001).

The authors’ findings suggest that adherence to the dietary patterns with high scores of AHEI-2010 is associated with a reduced risk of prostate cancer, so this index may be used as an effective measure to predict prostate cancer.

Salicylate intake and lifestyle have been implicated in the aetiology of prostate cancer, but the purpose of this paper is to evaluate their influence on established cancer progression.

A randomised, double blind, phase II study involving 110 men whose prostate specific antigen (PSA), had risen in three consecutive values, >20 per cent over the proceeding six months. Men were counselled to eat less saturated fat, processed food, more fruit, vegetables and legumes; exercise more regularly and to stop smoking. They were then randomised to take sodium salicylate (SS) alone or SS combined with, vitamin C, copper and manganese gluconates (CV247). Patients took this daily, without other intervention, but were withdrawn if their PSA doubling time (PSAdt) shortened or their PSA rose >20 per cent from baseline.

Although there was no difference in outcome between the SS or CV247 (21 v 19 p = 0.92), the intervention slowed or stopped the rate of PSA progression in 40 patients (36.4 per cent) for over one year. A further ten patients were stabilised for ten months. Patients least likely to stabilise had received previous radiotherapy or had a Gleason ≥7. These men welcomed this addition to active surveillance.

A further RCT in the sensitive subgroup, would determine the role adding SS to lifestyle counselling alone. These data suggest that this intervention would be welcomed by patients as if substantiated, it could potentially delay the need for more radical therapy and their associated toxicities

This study contributes to the understanding of the health effects of pesticides exposure and of how pesticides have been and should be regulated.

This study presents literature reviews for the period 2000–2013 on (i) the health effects of pesticides and on (ii) preference valuation of health risks related to pesticides, as well as a discussion of the role of benefit-cost analysis applied to pesticide regulatory measures.

This study indicates that the health literature has focused on individuals with direct exposure to pesticides, i.e. farmers, while the literature on preference valuation has focused on those with indirect exposure, i.e. consumers. The discussion highlights the need to clarify the rationale for regulating pesticides, the role of risk perceptions in benefit-cost analysis, and the importance of inter-disciplinary research in this area.

This study relates findings of different disciplines (health, economics, public policy) regarding pesticides, and identifies gaps for future research.