While associations between trace elements and heavy metals with prostate cancer are still debatable, they have been considered as risk factors for prostate cancer. Thus, this study aimed to detect any links between selected minerals and heavy metals including Se, Zn, Cu, Mn and Fe with prostate cancer. A case control study was carried out among 100 subjects (case n=50, control n=50), matched for age and ethnicity. Trace elements and heavy metals level in hair and nail samples were determined by ICP-MS. Mean selenium levels in hair and nail of the cases were significantly lower as compared to controls. A similar trend was noted for zinc in both hair and nail samples, whereas the mean level of copper was significantly higher in cases than controls. Similar elevation was noted for iron and manganese (p<0.05 for all parameters). Low levels of selenium and zinc and high levels of copper, iron and manganese appear to be associated with the risk of prostate cancer. Further studies to elucidate the causal mechanisms and appropriate chemopreventive measures are needed.

Applying theory of planned behavior to predict exercise maintenance in sarcopenic elderly Mohamad Hasnan Ahmad,1 Suzana Shahar,2 Nur Islami Mohd Fahmi Teng,2 Zahara Abdul Manaf,2 Noor Ibrahim Mohd Sakian,3 Baharudin Omar41Centre of Nutrition Epidemiology Research, Institute of Public Health, Ministry of Health, Kuala Lumpur, Malaysia; 2Dietetics Program, 3Occupational Therapy Program, 4Department of Biomedical Sciences, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia This study aimed to determine the factors associated with exercise behavior based on the theory of planned behavior (TPB) among the sarcopenic elderly people in Cheras, Kuala ­Lumpur. A total of 65 subjects with mean ages of 67.5±5.2 (men) and 66.1±5.1 (women) years participated in this study. Subjects were divided into two groups: 1) exercise group (n=34; 25 men, nine women); and 2) the control group (n=31; 22 men, nine women). Structural equation modeling, based on TPB components, was applied to determine specific factors that most contribute to and predict actual behavior toward exercise. Based on the TPB’s model, attitude (ß=0.60) and perceived behavioral control (ß=0.24) were the major predictors of intention to exercise among men at the baseline. Among women, the subjective norm (ß=0.82) was the major predictor of intention to perform the exercise at the baseline. After 12 weeks, attitude (men’s, ß=0.68; women’s, ß=0.24) and subjective norm (men’s, ß=0.12; women’s, ß=0.87) were the predictors of the intention to perform the exercise. “Feels healthier with exercise” was the specific factor to improve the intention to perform and to maintain exercise behavior in men (ß=0.36) and women (ß=0.49). “Not motivated to perform exercise” was the main barrier among men’s intention to exercise. The intention to perform the exercise was able to predict actual behavior regarding exercise at the baseline and at 12 weeks of an intervention program. As a conclusion, TPB is a useful model to determine and to predict maintenance of exercise in the sarcopenic elderly.Keywords: theory planned behavior, aging, elderly, sarcopenic, exercise

The influence of nutritional parameters and genetic susceptibility on poor cognitive impairment has been documented; however, the association between lipid-soluble vitamins with genetic susceptibility on mild cognitive impairment (MCI) has not yet been studied extensively. The aim of the present study was (i) to determine the prevalence of MCI and its associated risk factors and (2) to investigate the influence of the apolipoprotein E (APOE) ε4 allele on peripheral vitamin A and E concentration in MCI and non-MCI groups. A total of 333 subjects aged 60 years and above, residing in public housing areas in Kuala Lumpur, Malaysia were interviewed to obtain information on their neuropsychological status. Fasting venous blood was taken for determination of vitamin A and vitamin E concentration using high-performance liquid chromatography. Restriction fragment length polymorphism analysis was performed to determine the APOE genotypes. The prevalence of MCI was 21.1%. Binary logistic regression indicated that the predictors of MCI were being married, overweight or obesity, and had vitamin A deficiency. In non-MCI subjects, vitamin E levels were lower among APOEε4 allele carriers as compared to the non-carriers (P < 0.05). The study highlighted the importance of maintaining good nutritional status and vitamin A status for optimal cognitive function. The presence of APOEε4 allele has a prominent role in affecting vitamin E levels, particularly among cognitively healthy elderly in our unique population.