https://mail.lifescienceglobal.com/pms/index.php/ijsmr/issue/feedInternational Journal of Statistics in Medical Research2026-07-25T10:41:10+00:00Support Managersupport@lifescienceglobal.comOpen Journal Systems<p>The International Journal of Statistics in Medical Research seeks to publish new biostatistician models and methods, new statistical theory, as well as original applications of statistical methods, important practical problems arising from several areas of biostatistics and their applications in the field of public health, pharmacy, medicine, epidemiology, bio-informatics, computational biology, survival analysis, health informatics, biopharmaceutical etc.</p>https://mail.lifescienceglobal.com/pms/index.php/ijsmr/article/view/11176Cellular and General Resistance of Young Futsal Players Aged 13-16 Years Depending on Blood Group according to the ABO System2026-07-25T10:41:10+00:00Danil Dychkodychko.dv@gmail.comElena Dychkoinfo@lifescienceglobal.comVladislav Dychkoinfo@lifescienceglobal.comVadym Zhukinfo@lifescienceglobal.comNatalya Shaydainfo@lifescienceglobal.com<p><em>Relevance</em>: Regular physical activity during adolescence affects immune adaptation, but the possible contribution of genetically determined ABO blood group phenotypes to interindividual variability in immune resistance remains insufficiently substantiated.</p> <p><em>Purpose</em>: This study aimed to determine the features of cellular, innate (general) and acquired immune resistance in young futsal players aged 13–16 years, taking into account ABO blood group phenotype.</p> <p><em>Materials and Methods</em>: A total of 75 boys aged 13–16 years were examined: 45 futsal players and 30 practically healthy peers who did not engage in organized sports. Peripheral blood parameters were analyzed, including leukocytes, granulocytes, agranulocytes, neutrophil subpopulations, lymphocytes, monocytes, erythrocytes, hemoglobin and erythrocyte sedimentation rate (ESR). The adaptation index (AI) was calculated as the lymphocyte-to-segmented neutrophil ratio. Statistical analysis included assumption checking, pairwise comparisons with correction for multiple subgroup testing, and additional reporting of 95% confidence intervals, Cohen’s d effect sizes and observed power for AI comparisons.</p> <p><em>Results</em>: Most young futsal players demonstrated cellular and general immune resistance indicators corresponding to physiological adaptation. In athletes with O(I), A(II) and B(III) blood groups, AI corresponded to calm activation. In the AB(IV) subgroup, AI was lower than in controls and reached nominal statistical significance; however, this finding should be interpreted cautiously because of the very small subgroup size and loss of confirmatory strength after correction for multiple comparisons.</p> <p><em>Conclusions</em>: The study suggests that systematic futsal training in adolescents is generally associated with physiological immune adaptation. The possible relationship between ABO phenotype and immune adaptation requires verification in larger, longitudinal and statistically powered samples.</p>2026-07-25T00:00:00+00:00Copyright (c) 2026 https://mail.lifescienceglobal.com/pms/index.php/ijsmr/article/view/11177Analysis of Factors Influencing Workplace Accidents against Workers at PT. Dok and Perkapalan Gandasari Indonesia In 20252026-07-25T10:41:09+00:00B. Alvaro Buttu Saribu Sinagab.alvaro.sinaga@gmail.comYahya Thamrininfo@lifescienceglobal.comAtjo Wahyuinfo@lifescienceglobal.comMasyitha Muisinfo@lifescienceglobal.comAbdul Salaminfo@lifescienceglobal.com<p>The shipyard industry is recognized as a high-risk sector for occupational accidents due to the complex interaction between human factors, workplace conditions, and safety management systems; therefore, the increasing operational activities at PT. Dok and Perkapalan Gandasari Indonesia necessitate effective occupational safety management to minimize accident risks. This study aims to analyze the factors influencing occupational accidents among workers at PT. Dok and Perkapalan Gandasari Indonesia in 2025. The study using an analytic observational design with a cross-sectional approach, involving 191 workers selected through simple random sampling; data were collected using structured questionnaires and observation sheets, then analyzed using the Chi-square test for bivariate analysis and multiple logistic regression for multivariate analysis. The results showed that unsafe acts, unsafe conditions, work fatigue, and training experience were significantly associated with occupational accidents (p < 0.05); moreover, multivariate analysis indicated that work fatigue was the most dominant risk factor (OR = 15.311), followed by unsafe acts as a significant predictor in the final model, while unsafe conditions and training experience were not statistically significant despite showing a tendency to increase risk. In conclusion, work fatigue is the most dominant factor contributing to occupational accidents, followed by unsafe acts. Therefore, prevention efforts should prioritize controlling work fatigue through adequate regulation of working hours and rest periods, alongside strengthening control of unsafe behaviors, improving workplace conditions, and enhancing continuous safety training programs.</p>2026-07-25T00:00:00+00:00Copyright (c) 2026 https://mail.lifescienceglobal.com/pms/index.php/ijsmr/article/view/11178The Effect of Diabetes Self-Management Education (DSME) on Self-Efficacy of Type 2 Diabetes Mellitus Patients at the Kassi-Kassi Public Health Center2026-07-25T10:41:08+00:00Nurhaliza DarwisNurhalizadarwis13@gmail.comAndi Zulkifliinfo@lifescienceglobal.comRidwan Amiruddininfo@lifescienceglobal.com<p class="04-abstract">Type 2 diabetes mellitus requires continuous self-management, yet many patients have limited confidence in performing daily care. This study evaluated the effect of Diabetes Self-Management Education (DSME) on self-efficacy among patients with type 2 diabetes mellitus at the Kassi-Kassi Community Health Center, Makassar. A non-randomized quasi-experimental pretest–posttest design with a control group was used. A total of 120 patients were recruited consecutively and divided into an intervention group (n=60) and a control group (n=60). The intervention group received four structured 60-minute face-to-face DSME sessions over two weeks, supported by modules, booklets, and educational videos, whereas the control group received usual care and an educational booklet. Self-efficacy was measured using the 20-item Diabetes Management Self-Efficacy Scale. Data were analyzed using paired and independent t-tests and Difference-in-Differences analysis. Mean self-efficacy increased from 38.43±6.54 to 90.90±5.87 in the intervention group and from 39.55±6.26 to 80.53±6.39 in the control group. The posttest mean difference was 10.37 points (95% CI: 8.15–12.59; p<0.001; Cohen’s d=1.69). The Difference-in-Differences estimate was 11.49 points. Structured DSME was associated with a substantial short-term improvement in self-efficacy and may be considered for integration into routine primary diabetes care. Further multicenter randomized studies with longer follow-up and clinical outcomes are still needed.</p>2026-07-25T00:00:00+00:00Copyright (c) 2026