Background: Vitamin D plays an important role in the development of bone health and possibly non-communicable diseases. Arab countries had made their own national studies to assess serum vitamin D level among women, yet in Egypt there is no national survey done. The aim of the current study was to identify risk factors affecting vitamin D level among Egyptian females during the child-bearing period. Subjects and methods: A total of 100 healthy adult females in their childbearing period who were attending a Family Medicine Center were included in our study. The age of the included women ranged from 19 to 49 years old with a mean age of 34 (SD 8.47) years. The majority of participants had deficiency (43%) and insufficiency (13%) of vitamin D level. Results: Unemployed women were more likely to have vitamin D deficiency than employed women (P<0.05). Participants who were exposed to sun ˃30 minutes/day were more likely to have sufficient vitamin D level (P<0.05). All participants who consume fish ≥3 times/week had sufficient vitamin D level. Therefore, there was a statistically significance association between a number of consuming fish/week and vitamin D3 level groups. Also, there was statistically significant association between number of consumed milk cups/day and vitamin D3 level groups. All participants who drink 2 cups of milk have sufficient vitamin D level. No statistically significance association was found between using multivitamins and vitamin D3 level groups. Conclusion: Unemployment, low fish consumption and infrequent sun exposure were significant risk factors for vitamin D deficiency. Future research on the role of multivitamins supplements in improving vitamin D nutrition is warranted.

Digital therapeutics (DTx) are emerging as a pivotal tool in promoting longevity by addressing non-communicable diseases (NCDs) such as diabetes, cardiovascular diseases, and mental health disorders. These software-driven interventions offer personalized, evidence-based treatments that can be accessed via digital devices, making healthcare more accessible and scalable. One of the key advancements in DTx is the integration of artificial intelligence (AI) and machine learning (ML) to tailor interventions based on individual health data. This personalization enhances the effectiveness of treatments and supports preventive care by identifying risk factors early. The need for digital therapeutics is underscored by the rising prevalence of NCDs, which are responsible for a significant portion of global mortality and healthcare costs. Traditional healthcare systems often struggle to provide timely and personalized care, especially in low-resource settings. DTx can bridge this gap by offering cost-effective solutions that are easily scalable. Moreover, digital therapeutics can address health inequities by providing low-cost interventions to underserved populations, thereby reducing the burden of NCDs and improving overall health outcomes. As technology continues to evolve, the potential for DTx to enhance longevity and quality of life becomes increasingly promising. Recent advancements in longevity medicine and technology have focused on extending both lifespan and healthspan, ensuring that people not only live longer but also maintain good health throughout their extended years. This review article highlights these advancements that are contributing to this compelling subject of Longevity.

Background: On the first of October 2018, the Egyptian Ministry of Health and Population (MOHP) launched an initiative; named “100 Million Healthy Lives”, for nationwide screening of hepatitis c virus (HCV) and non-communicable diseases (NCDs). Egypt has the highest prevalence of HCV infection in the world where about 10% of the Egyptian population is affected by the disease. NCDs are the leading cause of mortality in Egypt and account for about 84% of all deaths. This study was conducted to a) Estimate the prevalence of participation in the national campaign on viral hepatitis C and non-communicable diseases among administrative workers in Ain shams University (ASU), b) Estimate the self-reported satisfaction of these participants with the campaign. Subjects and Methods: A cross-sectional study was conducted on 400 administrative workers of ASU faculties between March and August 2019 in Cairo, Egypt. A multistage random sample was done. Results: The study showed that 96% of the study group participated in the campaign. “Evaluating health status” was considered the main reason for participation at 92%, followed by "desire to obtain follow-up card", at 36%. Non-participation rate was about 4% and the main cause of non-participation was “fear of needle prick". About 91% of the participants were satisfied with the provided services. Mass media played a major role in awareness about the campaign for 91% of participants. Conclusions: The majority of the study group participated and was satisfied with the campaign. Mass media played a major role in participant awareness of the campaign.

Knowledge about the glycaemic load of a food is very important in minimizing the prevalence of diabetes and other Non-Communicable Diseases. The purpose of this study was to determine the glycaemic load of the different varieties of fufu in the Wenchi municipality in Ghana. Quantitatively, the study adopted a crossover experimental research design. The research was carried out in Wenchi, the capital of the Wenchi Municipal Assembly, in the Bono Region. Convenience and purposive sampling techniques were used to select ten (10) healthy adults for blood glucose tests in this study. Materials used for the study were Fresh cassava, plantain, yam, and cocoyam. Descriptive analysis was used in analysing and interpretation of the data. Values were analyzed by one-way analysis of variance (ANOVA). Statistical significance was set at p<0.05. Statistical analysis was performed using Statistical Package for Social Science (SPSS) 20.0. Proximate analysis of the study concluded that, plantain fufu contained the least carbohydrate content among the three fufu mixtures. The study also revealed that all fufu combinations had a high glycaemic load and this is as a result of the large portion size of fufu that is eaten at a serving. The glycaemic load of fufu combinations showed no significant difference, however, looking at the actual values, there are differences in them which should not be overlooked. It is recommended that consumers of fufu can eat any of the three mixtures of fufu, but there will be the need to take a smaller portion size of the fufu since a larger size can have adverse effects on their blood glucose level. It is also recommended that in other for fufu to be digested well and glucose to be absorbed easily, especially yam fufu, consumers should make sure to eat fufu at least about five hours before going to bed. It is recommended that nutritionists, dieticians, and diet therapists can as well recommend yam fufu and cocoyam fufu for diabetics and prediabetics, to bring about varieties in their diet.