Genotoxic Evaluation of Mexican Welders Occupationally Exposed to Welding Fumes Using the Micronucleus Test on Exfoliated Oral Mucosa Cells: Data Set

This is the latest version of the data set used in our paper. The main difference is that we increased the sample size from 39 to 66. Variables "case". Binary. Case exposed to welding fumes (1) or control (0) "age". Continuous. Participant's age in years. "bmi": Continuous. Body mass index (kg/m^2) "drink". Binary. Any level of alcohol consumption (1 positive, otherwise 0) "smoke". Binary. Any level of tobacco use (1 positive, 0 otherwise) "amalgam". Binary. Presence or absence of dental crowns (1 presence, 0 absence) "exp.years". Continuous. Number of years of exposure to welding-fumes. (0 for controls) "micronuclei". Discrete. Number of micronucleated cells per 2000 cells "binucleated". Discrete. Number of binucleated cells per 2000 cells "lobulated". Discrete. Number of lobed-nuclei cells per 2000 cells "pyknotic". Discrete. Number of pyknotic cells per 2000 cells "condensed". Discrete. Number of condensed-chromatin cells per 2000 cells "karyorrhexis"Discrete. Number of karyorrhectic cells per 2000 cells "karyolysis". Discrete. Number of karyolytic cells per 2000 cells Data set of n = 66 (33 welders and 33 controls). We obtained exfoliated epithelial cells from the participants' buccal mucosa by smearing the inside lining of the subjects' cheeks with a moistened wooden tongue-depressor. The smears were directly transferred to slides, and dried at room temperature. Afterwards, they were fixed in an 80% ethanol solution during 48 hours, and stained with acridine orange. An experienced reader, blind to the group to which samples belonged, observed the slides under 100x optic amplification with a Carl Zeiss IVFL Axiostar Plus microscope equipped with 450-490 nm fluorescence filters. Using the HUMNxl scoring criteria, she identified and counted the number of MNi and NA occurrences per 2000 observed cells per slide. The very low presence of women in the workforce of the welding industry in Mexico made impossible for us to find female welders, therefore all of the participants were male. Data are overdispersed and most variables do not follow a normal distribution. Use the 'describe' function of the 'psych' R package for descriptive statistics. Clean the data: http://dx.doi.org/10.6084/m9.figshare.1305591 Descriptive statistics and exploratory analysis: http://dx.doi.org/10.6084/m9.figshare.1305592 Statistical analysis: http://dx.doi.org/10.6084/m9.figshare.1305593