Purpose: This study aimed to determine whether the benefits of robotic surgery can be applied to the treatment of colon cancer by evaluating short-term outcomes of robotic versus laparoscopic colonic resection. Methods: This interim analysis of an interventional multicenter randomized trial was conducted to compare outcomes of robotic and laparoscopic colorectal surgery performed between January 2017 and December 2019. The study specifically assessed short-term outcomes in patients undergoing laparoscopic or robotic right or left colectomy for cancer. In addition, all short-term outcomes were evaluated in separate subgroups of right and left colonic resections through prespecified subgroup analyses. Results: A total of 323 patients were analyzed, of whom 142 underwent robotic-assisted surgery and 181 underwent laparoscopic surgery. Overall, 109 complications (33.7%) occurred in the short-term period, 41 (28.9%) in the robotic group and 68 (37.6%) in the laparoscopic group, with no differences between groups in intraoperative or postoperative complications. However, grade III complications were significantly more frequent in the laparoscopic group, with 17 cases (9.4%) compared to 5 cases (3.5%) in the robotic group. Oncological radicality was similar between groups. Functional recovery after surgery was superior in the robotic group, as reflected by a shorter time to mobilization (17.5±10.2 hours vs. 21.1±11.5 hours). In the right colectomy subgroup, rates of grade III complications (1.9% vs. 11.7%) and lymph nodes retrieved (20.3±10.3 vs. 20.2±6.4) favored robotic surgery. In the left colon cancer subgroup, functional recovery was also improved with robotic surgery (44.3±22.2 hours vs. 61.1±31.1 hours, as measured by the composite recovery outcome). Conclusion Robotic surgery is associated with fewer severe complications and improved postoperative recovery following colonic resections. Trial registration: ClinicalTrials.gov identifier: NCT02871960

Background: Work organization and psychosocial factors influencing sleep patterns may be significant risk factors for developing obesity and metabolic syndrome (MetS). However, the impact on the health of working patterns in the fishing sector is not well characterized. The aim of the study is to determine the prevalence of MetS and its components in fishermen and to analyze occupational-specific risk factors contributing to metabolic alterations. Methods: One hundred forty-three male fishermen from Apulia (Southern Italy) and 93 male university workers age-matched and from the same geographical area were included in this cross-sectional study. A questionnaire was administered to investigate socio-demographic variables, work activity, health status, and dietary habits. All subjects underwent clinical evaluation and blood sampling to depict their metabolic profile. Results: A higher body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (p < 0.001) were observed in fishermen than in university workers. No significant difference between the two groups was observed in the prevalence of MetS (15.4% fishermen vs 16.1% university workers) and its relevant diagnostic criteria, except abdominal obesity (42.7% fishermen vs 29.0% university workers, p = 0.021). The Castelli risk index, the monocyte/c-HDL ratio, and the Sokolow index were significantly greater in fishermen (p < 0.001). In the fishermen group, the total number of sleeping hours on working days was negatively correlated with WC (r = -0.17; p = 0.04), low-density lipoprotein cholesterol (c-LDL) (r = -0.21; p = 0.02), and the homeostasis model assessment (HOMA) index (r = -0.19; p = 0.02). Conclusion The higher prevalence of obesity and the imbalance of the metabolic profile observed in fishermen could be related to occupational factors, including the specific working pattern that influences their sleeping hours and sleeping-waking rhythms.

Background: Work organization and psychosocial factors influencing sleep patterns may be significant risk factors for developing obesity and metabolic syndrome (MetS). However, the impact on the health of working patterns in the fishing sector is not well characterized. The aim of the study is to determine the prevalence of MetS and its components in fishermen and to analyze occupational-specific risk factors contributing to metabolic alterations. Methods: One hundred forty-three male fishermen from Apulia (Southern Italy) and 93 male university workers age-matched and from the same geographical area were included in this cross-sectional study. A questionnaire was administered to investigate socio-demographic variables, work activity, health status, and dietary habits. All subjects underwent clinical evaluation and blood sampling to depict their metabolic profile. Results: A higher body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (p < 0.001) were observed in fishermen than in university workers. No significant difference between the two groups was observed in the prevalence of MetS (15.4% fishermen vs 16.1% university workers) and its relevant diagnostic criteria, except abdominal obesity (42.7% fishermen vs 29.0% university workers, p = 0.021). The Castelli risk index, the monocyte/c-HDL ratio, and the Sokolow index were significantly greater in fishermen (p < 0.001). In the fishermen group, the total number of sleeping hours on working days was negatively correlated with WC (r = -0.17; p = 0.04), low-density lipoprotein cholesterol (c-LDL) (r = -0.21; p = 0.02), and the homeostasis model assessment (HOMA) index (r = -0.19; p = 0.02). Conclusion The higher prevalence of obesity and the imbalance of the metabolic profile observed in fishermen could be related to occupational factors, including the specific working pattern that influences their sleeping hours and sleeping-waking rhythms.

Background: Work organization and psychosocial factors influencing sleep patterns may be significant risk factors for developing obesity and metabolic syndrome (MetS). However, the impact on the health of working patterns in the fishing sector is not well characterized. The aim of the study is to determine the prevalence of MetS and its components in fishermen and to analyze occupational-specific risk factors contributing to metabolic alterations. Methods: One hundred forty-three male fishermen from Apulia (Southern Italy) and 93 male university workers age-matched and from the same geographical area were included in this cross-sectional study. A questionnaire was administered to investigate socio-demographic variables, work activity, health status, and dietary habits. All subjects underwent clinical evaluation and blood sampling to depict their metabolic profile. Results: A higher body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (p < 0.001) were observed in fishermen than in university workers. No significant difference between the two groups was observed in the prevalence of MetS (15.4% fishermen vs 16.1% university workers) and its relevant diagnostic criteria, except abdominal obesity (42.7% fishermen vs 29.0% university workers, p = 0.021). The Castelli risk index, the monocyte/c-HDL ratio, and the Sokolow index were significantly greater in fishermen (p < 0.001). In the fishermen group, the total number of sleeping hours on working days was negatively correlated with WC (r = -0.17; p = 0.04), low-density lipoprotein cholesterol (c-LDL) (r = -0.21; p = 0.02), and the homeostasis model assessment (HOMA) index (r = -0.19; p = 0.02). Conclusion The higher prevalence of obesity and the imbalance of the metabolic profile observed in fishermen could be related to occupational factors, including the specific working pattern that influences their sleeping hours and sleeping-waking rhythms.

Background: Work organization and psychosocial factors influencing sleep patterns may be significant risk factors for developing obesity and metabolic syndrome (MetS). However, the impact on the health of working patterns in the fishing sector is not well characterized. The aim of the study is to determine the prevalence of MetS and its components in fishermen and to analyze occupational-specific risk factors contributing to metabolic alterations. Methods: One hundred forty-three male fishermen from Apulia (Southern Italy) and 93 male university workers age-matched and from the same geographical area were included in this cross-sectional study. A questionnaire was administered to investigate socio-demographic variables, work activity, health status, and dietary habits. All subjects underwent clinical evaluation and blood sampling to depict their metabolic profile. Results: A higher body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (p < 0.001) were observed in fishermen than in university workers. No significant difference between the two groups was observed in the prevalence of MetS (15.4% fishermen vs 16.1% university workers) and its relevant diagnostic criteria, except abdominal obesity (42.7% fishermen vs 29.0% university workers, p = 0.021). The Castelli risk index, the monocyte/c-HDL ratio, and the Sokolow index were significantly greater in fishermen (p < 0.001). In the fishermen group, the total number of sleeping hours on working days was negatively correlated with WC (r = -0.17; p = 0.04), low-density lipoprotein cholesterol (c-LDL) (r = -0.21; p = 0.02), and the homeostasis model assessment (HOMA) index (r = -0.19; p = 0.02). Conclusion The higher prevalence of obesity and the imbalance of the metabolic profile observed in fishermen could be related to occupational factors, including the specific working pattern that influences their sleeping hours and sleeping-waking rhythms.

Background: Work organization and psychosocial factors influencing sleep patterns may be significant risk factors for developing obesity and metabolic syndrome (MetS). However, the impact on the health of working patterns in the fishing sector is not well characterized. The aim of the study is to determine the prevalence of MetS and its components in fishermen and to analyze occupational-specific risk factors contributing to metabolic alterations. Methods: One hundred forty-three male fishermen from Apulia (Southern Italy) and 93 male university workers age-matched and from the same geographical area were included in this cross-sectional study. A questionnaire was administered to investigate socio-demographic variables, work activity, health status, and dietary habits. All subjects underwent clinical evaluation and blood sampling to depict their metabolic profile. Results: A higher body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (p < 0.001) were observed in fishermen than in university workers. No significant difference between the two groups was observed in the prevalence of MetS (15.4% fishermen vs 16.1% university workers) and its relevant diagnostic criteria, except abdominal obesity (42.7% fishermen vs 29.0% university workers, p = 0.021). The Castelli risk index, the monocyte/c-HDL ratio, and the Sokolow index were significantly greater in fishermen (p < 0.001). In the fishermen group, the total number of sleeping hours on working days was negatively correlated with WC (r = -0.17; p = 0.04), low-density lipoprotein cholesterol (c-LDL) (r = -0.21; p = 0.02), and the homeostasis model assessment (HOMA) index (r = -0.19; p = 0.02). Conclusion The higher prevalence of obesity and the imbalance of the metabolic profile observed in fishermen could be related to occupational factors, including the specific working pattern that influences their sleeping hours and sleeping-waking rhythms.