RESUMO
BACKGROUND: The administration of the coronavirus disease 2019 (COVID-19) vaccine aims to stimulate the production of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) antibodies. This leads to an enhanced production of neutralizing antibodies (Nabs), which naturally neutralize the virus within the body, thereby reducing the risk of COVID-19 infection. This study determined the analysis of factors affecting SARS-CoV-2 antibody levels in vaccinated individuals using data from the COVID-19 Seroepidemiological Survey of Gowa Regency. METHODS AND MATERIAL: This was an analytic observational study with a cross-sectional design. The COVID-19 Seroepidemiology Survey data as a whole were 851 individuals, and in this study, the number of samples was 804 individuals from all COVID-19 Seroepidemiology Survey samples who had performed the COVID-19 vaccine in Gowa Regency, selected through purposive sampling. STATISTICAL ANALYSIS USED: Data analysis was conducted using various statistical tests, including the independent-samples t-test, Mann-Whitney test, Kruskal-Wallis test, and multiple logistic regression. Furthermore, the analysis was performed through the STATA program version 14.0. RESULTS: There was a significant influence between the history of COVID-19 infection (P = 0.0006) and dose of vaccine (P = 0.0001) with SARS-CoV-2 antibody levels in vaccinated individuals. Meanwhile, vitamin consumption and comorbid history did not affect SARS-CoV-2 antibody levels. Multivariate analysis showed that vaccine dose was the most influential variable on antibody levels (P = 0.046; Odds Ratio (OR) 0.19; 95% Confidence Interval (CI): 0.036-0.968). CONCLUSIONS: The most influential factor was the vaccine dose on SARS-CoV-2 antibody levels in community in Gowa Regency.
RESUMO
Background: People with Diabetes Mellitus (DM) experience an increased health risk due to reduced physical activities. Cellular health technology (mHealth) offers a way that people with DM can engage in more complex physical activities. Social Cognitive Theory (SCT) is the most commonly used theory in increasing physical activities. This study aims to find out the application of SCT in mHealth app to control blood sugar (GDP, HbA1C) of T2DM patients. Design and Method: This present study used a mixed method sequential explanatory design related to the application of mHealth Diabetes Physical Activity in Takalar Regency. The first step was to use qualitative methods with rapid assessment procedures in developing the application of SCT in mHealth. The second step was to validate and test the app through usability testing. The last step was intervening the development of mHealth app using quasi-experimental designs related to the influence of mHealth Diabetes Physical activity interventions in controlling blood sugar (GDP, HbA1c) in T2DM patients. The first group was the mHealth diabetes Physical activity (PA) intervention group; the second intervention group was a group monitored through Whatsapp group; and the third group was the group with physical activity module but without monitoring. Expected outcome: The findings of this study are expected to be the basis of evidence for nurses holding DM programs to make relevant policies and design an app-based physical activity promotion programs for T2DM patients. Conclusion: This protocol qualifies to be the basis of evidence for nurses holding Diabetes Mellitus programs in improving health services through IT-based health promotion programs.
