Topical anti-aging agents: state-of-the-art review

Skin aging can be divided into intrinsic and extrinsic aging. Even though it is inevitable, symptoms of skin aging are a common concern for patients. As a result, there is a surge in the making of anti-aging cosmeceuticals. However, there is a lack of evidence-based data to support the usage of topical preparations as anti-aging treatments. Therefore, further studies are needed to explore topical treatment options for skin aging. This literature review discusses the mechanism of commonly used topical anti-aging agents and their adverse reactions

Comparing socio-economic conditions of mother and children with leprosy in endemic and non-endemic areas in East Java, Indonesia

Background: Leprosy is a disease that causes social, psychological, and economic issues. Failure to treat the causes of the immune system dysregulation in endemic areas of leprosy conditions makes the transmission of the bacteria easier. This paper aims to analyze the comparison of family income, occupation types of mothers and fathers, number of children, access to health facilities, and education of mothers, fathers, and children in mothers and children with leprosy in endemic and non-endemic areas.Materials and Methods: A cross sectional study by survey was done in both an endemic and a non-endemic area of leprosy in Tuban Regency, East Java, Indonesia. Retrieval of research data was done using interview techniques. Respondents who participated in this study were 106 pairs of mother and child respondents who met the research restriction criteria. Subjects were divided into 5groups based on diagnosis of leprosy and area of living. Bivariate analysis was performed by comparing the independent variables in each group A, B, C, and D with group E.Results:It was found that the variables that differed significantly between the endemic and non-endemic areas were the variable number of children with a p-value=0.004, family income with a p-value=0.049 and the variable mother’s education with a p-value=0.016. Meanwhile, other variables do not have significant difference.Conclusions: We found significant difference on the number of children, father’s education, mother's education, and family income. These variables can be a risk factor for leprosy. To make efforts to prevent the transmission of leprosy, stakeholders should consider these factors

Comparing Socio – Economi Conditions of Mother And Children With Lesprory in Endemic And Now Endemic Areas In East Java Indonesia

Abstract Background: Leprosy is a disease that causes social, psychological, and economic issues. Failure to treat the causes of the immune system dysregulation in endemic areas of leprosy conditions makes the transmission of the bacteria easier. This paper aims to analyze the comparison of family income, occupation types of mothers and fathers, number of children, access to health facilities, and education of mothers, fathers, and children in mothers and children with leprosy in endemic and non-endemic areas. Materials and methods: A cross sectional study by survey was done in both an endemic and a non-endemic area of leprosy in Tuban Regency, East Java, Indonesia. Retrieval of research data was done using interview techniques. Respondents who participated in this study were 106 pairs of mother and child respondents who met the research restriction criteria. Subjects were divided into 5groups based on diagnosis of leprosy and area of living. Bivariate analysis was performed by comparing the independent variables in each group A, B, C, and D with group E. Results: It was found that the variables that differed significantly between the endemic and non-endemic areas were the variable number of children with a p-value=0.004, family income with a p-value=0.049 and the variable mother's education with a p-value=0.016. Meanwhile, other variables do not have significant difference. Conclusions: We found significant difference on the number of children, father's education, mother's education, and family income. These variables can be a risk factor for leprosy. To make efforts to prevent the transmission of leprosy, stakeholders should consider these factors

Using Integrative Behavior Model to Predict COVID-19 Vaccination Intention among Health Care Workers in Indonesia: A Nationwide Survey

Background: Health care workers (HCWs) are a high-priority group for COVID-19 vaccination for several reasons. Health behavior theory-based studies on the intention or acceptability of COVID-19 vaccination among Indonesian HCWs is lacking. Using an integrated behavioral model, this research sought to identify Indonesian health care workers’ intentions to obtain COVID-19 vaccines. Methods: A countrywide cross-sectional questionnaire-based survey was conducted. The questionnaire was constructed on the basis of IBM (integrated behavioral model) constructs and scored on a seven-point bipolar scale. A hierarchical multivariable regression was used to evaluate the fit of the predictor model as well as the correlations between variables in the study. Results: 3304 people responded to the survey. A model combining demographic and IBM characteristics predicted 42.5 percent (adjusted R2 = 0.42) of the COVID-19 vaccination intention. Vaccination intention was associated with favorable vaccine attitudes, perceived norms, and self-efficacy. Among the determining constructs, behavior belief predicted vaccination intention the best. Being female, being married, having a history of COVID-19 infection, living outside Java Island, and having a low income were all linked to lower vaccination intentions. Conclusions: This study confirms the IBM model’s robustness in predicting health care workers’ intention to vaccinate against COVID-19

COVID-19 Vaccination Intention in Patients with Autoimmune Diseases in Indonesia: An Application of the Integrated Behavioural Model

Vaccine hesitancy can be a challenge for those with autoimmune diseases. This study investigated the acceptance of COVID-19 vaccination by patients with autoimmune diseases in Indonesia using the integrated behavioral model (IBM). This cross-sectional study was conducted from December 2021 to February 2022. A total of 404 patients with autoimmune diseases completed the survey. The majority of respondents (57.9%) said they intended to get vaccinated against COVID-19. The IBM model with added demographic variables explained 54.1% of the variance of vaccination intention (R2 = 0.541). Self-efficacy, perceived norms, experiential attitude, and instrumental attitude are significantly correlated with vaccination intention in components of health behavior theories. Self-efficacy is the most critical factor influencing vaccination intention in patients with autoimmune diseases (F(2, 401) = 96.9, p R2 = 0.326). In the multivariate analysis, vaccine intention was found to be positively associated with patients’ occupation as health-care workers (β = 0.105). Meanwhile, having a personal history of contracting COVID-19 and having co-morbidities other than autoimmune diseases were negatively correlated to the willingness to be vaccinated against COVID-19. This study confirms the viability of the IBM model for predicting the COVID-19 vaccination intention of patients with autoimmune diseases. It is essential to provide patients with autoimmune diseases with information that is clear and supported by evidence-based medicine

COVID-19 Booster Vaccine Intention by Health Care Workers in Jakarta, Indonesia: Using the Extended Model of Health Behavior Theories

In Indonesia, COVID-19 vaccination hesitancy persists among health care workers (HCWs). Understanding the motives and challenges impacting HCWs’ acceptance of the booster vaccination is critical. Efforts are still needed to overcome apprehension about taking a booster dosage. This study aims to analyze the vaccine acceptance among HCWs in Jakarta using an extended, modified model of health behavior theories, namely The Health Belief Model (HBM) and The Theory of Planned Behavior (TPB). A cross-sectional survey from November 2021 to January 2022 was distributed to health care workers in Jakarta. Bivariate analysis followed by multivariate regression was used to assess factors associated with the vaccine intention and collected 1684 responses. The results have shown that the final model combining the constructs and demographic characteristics could explain 50% of the variance of intention to receive a COVID-19 booster vaccination. Moreover, anticipated regret had the most significant standardized coefficient among the constructs (β = 0.381, p < 0.001). Other significant predictors in the model were attitude (β = 0.243, p < 0.001), perceived benefits (β = 0.103, p < 0.001), subjective norms (β = 0.08, p = 0.005), and perceived susceptibility (β = 0.051, p = 0.016). The findings can be used to strategize interventions to increase vaccine uptake