The impact of type 2 diabetes on professional activity.

AIM: To assess the impact of non-insulin-requiring Type 2 diabetes (T2D) on professional activity in terms of absenteeism, presenteeism, reduced productivity and daily activities. METHODS: We conducted a comparative cross-sectional survey of two groups of employees in the Cap Bon textile sector: 75 diabetic and 75 workers free from any endocrinological pathology, seen in the occupational medicine group of Nabeul. The study was spread over 10 months from March 2020.A questionnaire was administered containing the Arabic version of WPAI-GH « Work Productivity and Activity Impairment Questionnaire-General Health ¼ to assess absenteeism, presenteeism, decreased productivity and daily activity. RESULTS: A total of 150 workers participated in our study. Diabetes was responsible for absenteeism of 5.1 ± 8.9%, presenteeism of 4.8 ± 6,4%, a decrease in productivity of 7.3 ± 7.8% and a decrease in the daily activity of 14,6 ± 10%. The rate of presenteeism, decrease in productivity and daily activity were significantly higher in T2D (p = 0.015). Absenteeism was associated with degenerative complications (p< 0,001). Presenteeism was associated with the duration of the course of diabetes (p < 0,001). CONCLUSION: Diabetes has a negative impact in productivity and general activity. Early and multidisciplinary management of these patients improves their professional performance.

HLA Class III: A susceptibility region to systemic lupus erythematosus in Tunisian population.

BACKGROUND AND OBJECTIVES: Short tandem repeats (STR) are usually used as informative polymorphic markers for genetic mapping and for disease susceptibility analysis. The involvement of these microsatellite markers localized in the MHC region was reported in many auto-immune diseases. In this study we analyzed for the first time eight polymorphisms of microsatellite loci at the HLA region: D6S291, D6S273, TNFa, b and c, MICA, D6S265 and D6S276, in Tunisian systemic lupus erythematosus (SLE) patients. MATERIALS AND METHODS: We performed a case control study in which the microsatellite loci were amplified using specific primers labeled with NED, VIC, PET or 6-FAM and analyzed using GeneScan software 3.7. For the statistical analysis, we used SPSS software and we performed a sub-haplotype scoring test using the haplo.stats software developed in the R language. RESULTS: We found that two mean associated regions existed; the most statistically significant encompassed the 3 TNF markers (p = 0.0003, OR = 19.34); the latter covered the DR region. In fact, when scoring haplotypes in 3 marker- sliding windows, the p value increased as we moved away from the TNF region and decreased again when we approached the DRB1 locus. We also established for the first time the negative association between alleles of D6S291 and SLE. The majority of clinical and serological correlations were noted with TNF alleles. CONCLUSION: Our results confirm the association between TNF and DRB1 polymorphisms and SLE. The association between alleles of D6S291 and SLE needs however to be verified by the analysis of other markers beyond this region.