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• W2034008512 abstract "OBJECTIVE: To develop a statistical model to predict the impact of different lifestyle and environmental factors on seminal parameters.DESIGN: Retrospective.MATERIALS AND METHODS: The volume, concentration, sperm mobility, sperm vitality and strict criteria sperm morphology of 128 patients were correlated with: age, alcohol and tobacco use, type of underwear, type of work, previous illnesses and surgeries, physical activity, place of residence, stress, prescription drugs, coital frequency and hours of sleep. For statistical analysis, each environmental parameter was categorized according to the published degree of influence. Statistical analysis was divided into two processes. As a first step, a Canonical Correspondence Analysis (CCA) was performed to evaluate the interactions of each environmental parameter on sperm quality in general. As a second step, a Multiple Linear Regression was applied to asses which specific seminal parameters were altered by each environmental variable. P values <0.05 were considered significant.RESULTS: Previous illnesses and surgeries, sleeping hours and site of residence were the environmental factors with a higher impact. Regarding each individual seminal parameter, we found that: volume was altered by: age and type of underwear used; sperm concentration was altered by: alcohol and tobacco use, type of job and previous surgery; sperm mobility was altered by: age, site of residence, current medications, illnesses suffered, type of work and previous surgeries; sperm vitality was affected by: illnesses suffered and stress and, finally, sperm morphology was altered by: alcohol and tobacco use, site of residence and stress.CONCLUSION: The most affected sperm parameters by environmental conditions were: sperm concentration, grade A mobility and sperm morphology. The greatest impact on sperm quality was produced by: alcohol and tobacco use, type of work and previous surgery. A predictive model on the expected seminal quality according to the environmental and lifestyle conditions was generated. OBJECTIVE: To develop a statistical model to predict the impact of different lifestyle and environmental factors on seminal parameters. DESIGN: Retrospective. MATERIALS AND METHODS: The volume, concentration, sperm mobility, sperm vitality and strict criteria sperm morphology of 128 patients were correlated with: age, alcohol and tobacco use, type of underwear, type of work, previous illnesses and surgeries, physical activity, place of residence, stress, prescription drugs, coital frequency and hours of sleep. For statistical analysis, each environmental parameter was categorized according to the published degree of influence. Statistical analysis was divided into two processes. As a first step, a Canonical Correspondence Analysis (CCA) was performed to evaluate the interactions of each environmental parameter on sperm quality in general. As a second step, a Multiple Linear Regression was applied to asses which specific seminal parameters were altered by each environmental variable. P values <0.05 were considered significant. RESULTS: Previous illnesses and surgeries, sleeping hours and site of residence were the environmental factors with a higher impact. Regarding each individual seminal parameter, we found that: volume was altered by: age and type of underwear used; sperm concentration was altered by: alcohol and tobacco use, type of job and previous surgery; sperm mobility was altered by: age, site of residence, current medications, illnesses suffered, type of work and previous surgeries; sperm vitality was affected by: illnesses suffered and stress and, finally, sperm morphology was altered by: alcohol and tobacco use, site of residence and stress. CONCLUSION: The most affected sperm parameters by environmental conditions were: sperm concentration, grade A mobility and sperm morphology. The greatest impact on sperm quality was produced by: alcohol and tobacco use, type of work and previous surgery. A predictive model on the expected seminal quality according to the environmental and lifestyle conditions was generated." @default.
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• W2034008512 date "2010-09-01" @default.
• W2034008512 modified "2023-09-27" @default.
• W2034008512 title "Statistical model to predict the impact of different lifestyle and environmental factors on seminal parameters" @default.
• W2034008512 doi "https://doi.org/10.1016/j.fertnstert.2010.07.893" @default.
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