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Effects of Lifestyle Changes on Semen Quality in Healthy Young Men Living in Highly Polluted Areas (FAST)
We planned a randomized controlled trial (RCT) with the main aim to evaluate the effects of lifestyle changes on semen quality in healthy young men living in polluted areas in Italy. Secondary aims are to assess: a) the association between semen quality and biomarkers of early damage or inflammation; b) the associations between biomarkers of exposure to heavy metals and semen quality and biomarkers of early damage or inflammation; c) the associations between diet and physical activity and semen quality and biomarkers of early damage or inflammation; d) the effects of lifestyle changes on the blood and semen levels of heavy metals. The RCT includes 450 young men living in one of the following three polluted areas: 1. a polychlorinated biphenyls (PCBs) polluted area in Brescia province, Lombardy region; 2. the valley of the Sacco river, with high levels of beta-hexachlorocyclohexane (β-HCH) originated by toxic waste dumps of industrial origin. 3. the "Land of Fires" in the Campania region, with a high concentration of illegal waste dumping and uncontrolled burning near cultivated fields. Inclusion criteria are: a) healthy males aged 18- 22 years; b) residents in the area since at least 5 years; c) non smokers; d) non alcohol or drug users; e) normo-weight (18.5\< BMI\<24.99); f) no occupationally exposed to fertility toxics; g) not affected by chronic diseases. Subjects will be randomly assigned to an intervention or control group. The intervention group will follow a nutritional pathway and receive suggestions on practice of physical activity for 4 months, under the guide of some nutritionists, who will establish individualized diets for each subject. The control group will receive only a booklet including the dietary recommendations by the Italian National Institute for Research on Food and Nutrition. All subjects will undergo urologic examination, measurement of weight, height and abdominal circumference, an interview on demographic data, lifestyle variables, di
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