## 3 Results  
The sample was made up of 328 (100%) workers; of these, 55% (n = 180) were men 45% (n = 148) were women, mean age 43.2 \(\pm\) 6.8, seniority was 17.5 \(\pm\) 4.7. A total of 66% (n = 180) were smokers. Of these, 62% (n = 134) had a pack/years value <20. A total of 61% (n = 147) drank at least one glass of alcoholic beverage per day (see Table 2). Table 2 shows the main characteristics of the sample divided into two categories of workers: agricultural workers and supply chain workers. Occupational health and safety risks for those who worked only as agricultural workers, 180 (55%), were: manual handling of loads (MMC), biomechanical overload of the upper limbs (SB), incongruuous postures (Pi), ultraviolet rays and dust; of these 21 (6%) were also exposed to chemical risks (pesticides users). For those who worked in the supply chain, the risks were: MMC, SB, Pi. \begin{table}
\begin{tabular}{l c c c c} \hline \hline \multirow{2}{*}{**Sample Characteristics**} & **Agricultural Workers 180 (100\%)** & \multicolumn{2}{c}{**Workers in the Supply Chain 148**} & \multirow{2}{*}{_p-Value_} \\  & **(100\%)** & **(100\%)** & \\ \hline Male & 177 (98\%) & 91 (61\%) & \textless{}0.05 \\ \hline Age (years) & 43.6 \(\pm\) 7.2 & 42.2 \(\pm\) 5.6 & n.s. \\ \hline Years of employment & 19.5 \(\pm\) 5.4 & 18.5 \(\pm\) 4.1 & n.s. \\ \hline Smokers & 145 (80\%) & 111 (75\%) & n.s. \\ \hline Pack/years & \textless{}20 & 103 (71\%) & 84 (76\%) & n.s. \\  & \textgreater{}20 & 42 (29\%) & 27 (24\%) & n.s. \\ \hline Alcohol use & 180 (100\%) & 148 (100\%) & n.s. \\ \hline Physical Risks: MMC, Sb, Pi & 180 (100\%) & 148 (100\%) & n.s. \\ \hline Climate risk and UV rays & 180 (100\%) & 17 (11\%) & \textless{}0.05 \\ \hline Body vibration risk & 20 (11.1\%) & 17 (11\%) & n.s. \\ \hline Chemical Risk & 21 (11.6\%) & 0 (0\%) & \textless{}0.05 \\ \hline COVID-19 risk & low medium/high & 180 (100\%) & 0 (0\%) & \textless{}0.05 \\  & \textless{}0.05 & 148 (100\%) & \textless{}0.05 \\ \hline \hline \end{tabular} n.s. not significant. \(t\)-test and Chi-square were used correspondingly to evaluate the means and frequencies.  
\end{table} 
Table 2: Main sample characteristics. 100% of the workers operated for 40 h/week, during the first pandemic phase (see Table 2). Analysis of the two groups shows statistically significant differences for gender, with a significant prevalence of male workers among agricultural workers; no statistically significant difference was found for smoking habits between the two groups. A statistically significant difference was found in the health and safety risks to which workers were exposed. In particular, agricultural workers were significantly exposed to climatic and UV risk and chemical risk (pesticides). Finally, the COVID-19 risk was significantly different between the two groups, low in agricultural workers and medium in supply chain workers. The risk classification was based on the documents \"Hazard Recognition\" by OSHA, 2020 and on the \"Technical document on the possible remodeling of measures for the containment of SARS-CoV-2 infection in the workplace and prevention strategies by INAIL, 2020\" [11, 14]. During the 3 months under study, all agricultural workers underwent all required procedures before starting work shifts. For 49 (15%) workers, after applying the anti-COVID-19 operating protocol, it was necessary to contact the occupational physician. Table 3 details the clinical signs/symptoms of these workers. Forty-nine (15%) workers entering the company and underwent to anti-COVID-19 protocol showed signs and/or symptoms worthy of attention. In particular, in cases of fever, the worker was sent home and invited to contact the family doctor. In other cases, video consultation with the occupational physician was activated. No statistically significant differences were found between the two groups. In 3 (6%) out of 30 workers with fever the family doctor prescribed a molecular swab test that gave a positive result for SARS-CoV-2 in 1 case.