design

Introduction: Hypoglycemia affects patient safety and glycemic control during insulin treatment of both type 1 (T1DM) and type 2 diabetes mellitus (T2DM). It is still a major clinical problem in the treatment of type 1 diabetes that impairs metabolic control. This study aimed to assess hypoglycemia and associated factors among type 1 diabetes mellitus patients attending the outpatient clinics of Debra–Tabor Comprehensive and Specialized Hospital, in 2021.Method: institutional-based cross-sectional study design was conducted among 204 selected type I DM, from June 1/2021 to August 30/2021. The study participants were selected by systematic sampling method from monthly follow-up lists and lists of registration. Data were cleaned and entered into Epi Data and then exported into SPSS version 20 for analysis. Data were presented with texts, graphs, diagrams, and tables but an analytic form of findings will be presented by text form of the odds ratio. Bivariable and multivariable binary logistic regression models were fitted to identify factors associated with hypoglycemia p – value < 0.05 was considered statistically significant and reported as a 95% confidence interval (CI).Results: A total of 204 participants participated with a response rate of 100%, and prevalence of self-reported hypoglycemia was 88.7% (95%, CI: 83.8-92.6) and the prevalence of hypoglycemia was significantly associated with occupation [AOR: 4.01 (95% CI:1.86-9.35)], higher educational status [AOR: 2.13 (95% CI:1.92-13.15)], diabetic duration < 1 [AOR: 3.80 (95% CI:1.32-9.28)], poor knowledge [AOR: 4.91 (95% CI:1.09-11.06)] and favorable attitude [AOR: 5.86 (1.10-6.07)]. The current study revealed that the knowledge, attitude, and practice of respondents were 81.9% (95%, CI, 76-86.8), 73% (95% CI, 66.7-78.9), and 91.2% (95% CI, 86.8-94.6) respectively.Conclusion and recommendation: Hypoglycemia was highly prevalent among diabetic patients treated at Debra-Tabor Comprehensive and Specialized Referral Hospital. To reduce the higher prevalence of hypoglycemia the health professionals working in the hospital had better provide appropriate patient advice about, BGL monitoring, medication adherence, self-injection as well as oral hypoglycemic agent administrations.

The burden of sexually transmitted infections (STIs) continues to increase with over one million curable STIs occurring daily worldwide. Sex disparity in the rates of testing for STIs can compromise the efforts to reduce the incidence of STIs. The study aimed to explore the barriers to facility-based screening for STIs among men in Ghana. A qualitative exploratory design was employed in this study. Using a semi-structured interview guide, individual in-depth interviews were conducted among purposively sampled men from November 2019 to January 2020. Data saturation was achieved at the ninth participant. Audio-recorded interviews were transcribed verbatim and analysed thematically through Braun and Clarke’s approach. Four themes emerged from the analyses: (1) lack of privacy from healthcare providers, (2) mistrust of healthcare providers, (3) the burden of handling thoughts of positive status, and (4) fear of stigmatisation. These barriers deterred men from seeking clinic-based screening for STIs. The barriers were multi-factorial and a major hindrance to ensuring that people are aware of their STI status through screening and diagnosis. It is imperative to consider these barriers when designing STI screening interventions and policies to help promote facility-based screening for STIs among men in Ghana.

Artificial Intelligence (AI) combined with Synthetic Biology has the potential to change the way we approach medicine, agriculture, and manufacturing. AI automates tasks, optimizes experimental designs, and predicts biological behaviours, resulting in more efficient design and engineering of biological systems. However, there are challenges such as data limitations, interpretability issues, and ethical considerations like biosafety and biosecurity concerns that need to be addressed. AI can be used to analyze vast amounts of data and identify patterns. This has led to successful applications of AI in high-throughput screening and biomanufacturing, which can drive innovation and address critical challenges. AI-powered closed-loop systems for real-time monitoring and control of biological processes also show promise in providing real-time feedback and optimizing systems on the fly. Despite these advancements, it's important to consider ethical implications to ensure the responsible development and application of AI in synthetic biology. Proper consideration of challenges and ethical considerations can help leverage the power of AI to drive innovation and tackle pressing societal challenges. Overall, the potential of AI in synthetic biology is significant. By addressing challenges and ethical considerations, we can use them effectively to solve pressing problems.

The genesis of the youth Community Health Worker (CHW) and Citizen/Community Science (CS) training is rooted in interdisciplinary research and the lived experiences of families in Chicago and Urbana-Champaign. Dr. Mendenhall and colleagues’ (Drs. Robinson, Roberts and Rodriquez-Zas) South Chicago’s Black Mothers’ Resiliency Project provide dinsights into Black women’s experiences with genomics, trauma, and community science. Black women’s testimonies highlighted the health impacts of living in neighborhoods with high levels of gun violence and the resilience strategies they employ. This led to the development of a youth-centered CHW and CS training program, aimed at addressing health disparities. The program trained high school students and young adults (up to age 24) as CHWs and CSs, focusing on the objectives of (1) embedding culturally competent health workers in marginalized communities; (2) amplifying community voices; (3) collecting, analyzing, and quantifying observational data to inform policy decision-making; (4) amplifying community voices in healthcare discussions and (5) creating community health care worker training certification for youth. Over three years, the program trained over 50 participants, incorporating elements of wellness, art, and entrepreneurship.Based on ethnographic notes participants reported increases in wellness such as reduced anxiety and increased empowerment. The program’s long-term goals include creating employment opportunities for graduates and contributing to improved community health outcomes. This initiative represents a step towards addressing racial trauma and promoting community healing through youth-led innovation and empowerment.

Compacted bentonite or sand-bentonite mixtures are considered buffer/backfill materials in the engineering barriers of deep geological repositories for high-level nuclear waste (HLW) disposal in many countries. The design and long-term functionality of nuclear repositories have critical importance for environmental safety and public health. The initially unsaturated buffer material could become re-saturated long after following the sealing of the repository. Although the saturation degree of the buffer might decrease due to high temperatures and evaporation, it tends to increase with groundwater intrusion. Therefore, the soil water characteristic curves (SWCCs) for these unsaturated soils are a key factor in geotechnical engineering. Yet, the determination of SWCCs can be time-consuming and prone to inaccuracies. The HYPROP (Hydraulic Property Analyzer) evaporation technique is a preferred method for accurately determining water retention curves of soils. This reliable method was applied to estimate the water retention curves for sand-bentonite mixtures in the presence of boron minerals. Known for their minimal thermal expansion and commonly used in various industries, boron minerals may improve the thermal stability of sand-bentonite mixtures. The findings revealed that the boron addition increased the water retention capacity of the 10% bentonite mixtures but had a negligible impact on the 20% bentonite mixtures.

Background: Maternal mortality is a very sensitive indicator of our health system and services. Epidemiological data about maternal mortality is a vital requirement in every setting not only to design interventional programs but also to identify gaps in the existing structures, to reduce the ratio favorably. This study was an attempt to shed light on the mortality rate in our hospital, to analyze the epidemiological aspects, causes of maternal mortality, and types of delay, and to suggest recommendations for improvement. Methods: A retrospective study was done at a tertiary care center at the district level from January 2022 to December 2022. Demographic data and details of selected parameters were obtained from maternal death review forms and case records. Data analyzed and presented.Results: The majority of the maternal deaths could be attributed to direct obstetric causes like Eclampsia (29.41%), Pre-eclampsia (20.59%), and anemia (20.59%) followed by hemorrhage (14.71%), and septicemia (11.76%). Medical conditions contributing to death included liver disorders (5.8%), COVID-19 infection (5.8%), and cardiac disorders (2.9%). Conclusion: It is evident that the maternal mortality ratio is significantly high, with a majority of the deaths occurring due to avoidable causes. Leading contributory factors were due to delay in seeking help or delay in referral. High-risk cases must be identified at the earliest and referred to higher centers for management from the first trimester itself. Generating awareness among the common public and counseling the gravidas and their caretakers throughout pregnancy is equally important to prevent maternal mortality and near-miss cases.

The article deals with such issues as storage of industrial waste, causes, examples and prevention of accidents, NGO operation and reclamation, and methods of dealing with the consequences of accidents. When storing industrial waste in large volumes, various complications arise, including accidents in waste storage facilities. The article provides examples of accidents for specific objects and analyzes their causes and consequences. The methods of dealing with the consequences of accidents and their prevention are considered. The materials of the article can help specialists improve the design and operation of waste storage facilities.

The mainstays of nuclear substance radiation and isotopic synthesis are nuclear-powered power plants, however effective safety evaluation is made tougher by the complicated construction topologies and physical connection effects. This work proposes a multiphysics-linked technique for evaluating both the kinetic and steady-state behaviors of the MPRR and LVR-15 laboratory reactors. To represent complicated member geometries, homogenized assembling sections are generated using two-dimensional whole-core computational simulations. It is discovered that the steady-state findings and the so-called Monte Carl solution comparisons correspond quite nicely. The greatest assemble power mistakes for LVR-15 and MPRR are 6.49%/10%, and the highest command rod value mistakes are 31 pcm/136 pcm, and the mistakes are 377 pcm/383 pcm, accordingly. Meanwhile, the study is done on transitory procedures, such as reactivity-initiated disasters and exposed loss-of-flow mishaps. Both units' modeling findings show plausible adverse feedback events. Furthermore, it is shown that the two reactors' accident-related behaviors are comparable though having different core architectures since they employ the exact same kinds of water as a fluid. The technique for studying nuclear power plant kinetics known as Multi-Physics Simulation (MPM) is explained. Drawing on many research and verification efforts conducted at Politecnico di Milan, Italy, MPM is shown to be a valuable instrument for managing reactors' security and oversight. It may be viewed as a holistic analytical tool that is implemented during the reactor architecture design phase. The capacity to concurrently answer the interrelated equations that control the many physical processes taking place in a nuclear plant inside the same simulated setting is a core characteristic of MPM.

Background: Stillbirth (SB), either because of intrauterine or intrapartum fetal death, is amongst the most devastating pregnancy complications, hardest to predict, real challenge for health systems. India probably accounts for the highest SB numbers in the world.Objectives: A community-based prospective study was carried out to know the burden, and causes of SBs in rural women of remote region.Material methods: After approval of the ethics committee of the Institute in Maharashtra for broader research, which was service-oriented, the present study was conducted in 100 villages around the village with health facilities. These villages were included keeping in mind future services. After obtaining the consent of women, information was prospectively recorded on their predesigned tool (which was for broader work), by asking women and seeing their records of antenatal and intranatal care on a regular basis. The study subjects were selected after obtaining information from nurse midwives, Accredited Social Health Activists (ASHAs), and Aaganwadi workers. As the plan was to serve, there was excellent cooperation. The tool was made for broader work. Villages were visited 5 days a week. Study was community-based in villages in remote, hilly region with various local issues so any information the women gave conclusion and was in the record was used.Results: A total of 3905 births occurred over two years, 3635 (93%) term, and 270 (7%) preterm. Amongst 3635 term births, 3474 (95.6%) were live births, 161 (4.4%) SBs, amongst 270 preterm births, 239 (88.5%) were live births, 31 (11.5%) SBs. Of 192 SBs, 48 (7.2%) SBs were amongst 2690 women with anaemia, (16 (2.4%) SBs amongst women with very severe anaemia, 12 (1.8%) SBs were amongst 667 women with severe anaemia, 12 (1.8%) SBs were amongst 664 women with moderate anaemia, 8 (1.2%) SBs were amongst 680 women with mild anaemia). Overall of 192 (4.9%) SBs, 31 (18.1%) SBs were among 517 women with hypertensive disorders of pregnancy (HDsP) 8 (4.4%) SBs amongst 280 women with moderate HDsP, 12 (6.9%) SBs amongst 175 women with severe HDsP, 11 (6.8%) SBs in 62 women with eclampsia. Overall of 192 SBs, 6 (3.1%) babies had weight < 1 kg, 8 (4.1%) of ≥ 1 to < 1.5 kg, 50 (26.0%) ≥ 1.5 to < 2 kg, 64 (33.3%) ≥ 2 to < 2.5 kg, 64 (33.3%) 2.5 kg and more, obviously fewer babies more deaths in birth weight less than 1. 5 kg, more so less than 1 kg.Conclusion: Overall SBs were in women with disorders but 4.5% SBs did occur in women with no disorder. SBs were significantly higher amongst babies weighing less than 1 kg, beyond this weight, numbers were similar.

Aim: To evaluate the effectiveness of an ayurvedic gel in tooth pain reduction due to dental caries. Materials and methods: This in vivo cross-over design study enrolled adults with at least one tooth with caries and a symptom of pain after the application of an ice stimulus. Two hundred patients were screened and eligible patients were enrolled in the study. Forty-five subjects completed washout phases before each recall visit. During each recall visit, subjects evaluated pain relief following an ice bar stimulus and one random finger-tip application of a treatment i.e. Ayurveda Herbal gel containing clove oil, camphor, and menthol (Ayurveda Herbal Gel Group), and two control formulations: a gel without active ingredients and commercial olive oil as a surrogate of home remedy. At each assessment, subjects used a stopwatch to record the onset of pain relief and tooth pain using visual analog scores (VAS), dental pain scores (DPS), and relief from tooth pain by dental pain relief scores (DPRS). After each treatment, subjects recorded their satisfaction with the provided treatment using a four-point satisfaction index. Data were tabulated and statistical analysis was performed with (ANCOVA) and two-way ANOVA with a p - value of 0.05 considered statistically significant. Results: Forty-five subjects (28 males and 17 females) completed the entire study without any adverse events. Application of the Ayurveda gel resulted in a significantly faster onset of pain relief (2.47 min) in comparison to the onset of pain relief after 4 minutes recorded with the controls (p < 0.05). Subjects reported lower VAS and DPS scores over the study period of evaluation when using the Ayurveda gel compared to the application of each control formulation. Subjects also reported greater relief of pain and greater satisfaction after the application of the Ayurveda gel as compared to the controls. Conclusion: Significantly better tooth pain relief from caries was observed from an Ayurveda Herbal gel than from controls.

Introduction: We aim to evaluate the performance of pre-treatment MRI-based habitat imaging to segment tumor micro-environment and its potential to identify patients with esophageal cancer who can achieve pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT).Material and methods: A total of 18 patients with locally advanced esophageal cancer (LAEC) were recruited into this retrospective study. All patients underwent MRI before nCRT and surgery using a 3.0 T scanner (Ingenia 3.0 CX, Philips Healthcare). A series of MR sequences including T2-weighted (T2), diffusion-weighted imaging (DWI), and Contrast Enhance-T1 weighted (CE-T1) were performed. A clustering algorithm using a two-stage hierarchical approach groups MRI voxels into separate clusters based on their similarity. The t-test and receiver operating characteristic (ROC) analysis were used to evaluate the predictive effect of pCR on habitat imaging results. Cross-validation of 18 folds is used to test the accuracy of predictions.Results: A total of 9 habitats were identified based on structural and physiologic features. The predictive performance of habitat imaging based on these habitat volume fractions (VFs) was evaluated. Students’ t-tests identified 2 habitats as good classifiers for pCR and non-pCR patients. ROC analysis shows that the best classifier had the highest AUC (0.82) with an average prediction accuracy of 77.78%.Conclusion: We demonstrate that MRI-based tumor habitat imaging has great potential for predicting treatment response in LAEC. Spatialized habitat imaging results can also be used to identify tumor non-responsive sub-regions for the design of focused boost treatment to potentially improve nCRT efficacy.

Background: Cervical Cancer poses a significant global health challenge, especially in lowresource settings. It is a significant health problem worldwide, with over half a million new cases diagnosed each year, accounting for approximately 6.6% of all gynecological Cancer cases and over 300,000 deaths each year. In Zambia, it is the leading cause of mortality and morbidity among women. The number of cases has increased by approximately 40%. This study explored the lived experiences of Cervical Cancer patients undergoing chemotherapy at the Cancer Diseases Hospital in Lusaka, Zambia, focusing on their subjective experiences. By examining their journeys through chemotherapy, the study aimed to highlight the subtle complexities in which treatment impacts patients’ lives and well-being.  Methods and procedures: Employing a qualitative descriptive phenomenological study design, in-depth interviews were conducted with 10 participants with diverse demographics. The sample size was determined by data saturation and saturation was reached at 10. Ethical protocols were ensured, and Study approval was obtained from UNZABREC and the National Health Research Authority. Thematic analysis was conducted on audio-recorded interviews with cervical cancer patients, ensuring confidentiality and accuracy while discerning significant patterns and themes in their narratives. Results/findings: Emotional experiences ranged from anxiety to gratitude. Psychological challenges encompassed coping mechanisms, stress management, emotional adjustments, and treatment-related fears. Socially, community support, workplace accommodations, and healthcare provider roles were key. Physical experiences revealed side effects managed through coping strategies. Financial challenges significantly impacted individuals and families.  Conclusions and recommendations: The study revealed that cervical cancer patients undergoing chemotherapy face complex challenges spanning emotional, psychological, social, physical, and financial domains, underscoring the imperative for comprehensive patient-centered care. Recommendations suggest focusing on financial aid for cancer patients and tackling treatment expenses and insurance issues. The Cancer Diseases Hospital should establish multidisciplinary teams for holistic care, and enhance patient education efforts. Nurses should adopt strategies integrating cultural competence and patient-centered care to address diverse challenges during chemotherapy. These aim to enhance the well-being and care quality of Cervical Cancer patients.

Background: Delaying or slowing functional loss is a valuable goal of Multiple Sclerosis (MS) rehabilitation. The mHealth app-based exercise rehabilitation intervention is expected to overcome barriers related to routine care of MS. Due to the ubiquitous presence of smartphones, they offer an excellent opportunity for remote monitoring, scheduled interaction with experts, and instruction for exercise in a home environment. Challenges in MS routine care include forgotten rehabilitation steps, limited access to local MS experts, and internal barriers such as low health literacy, mobility limitations, and fatigue, alongside external obstacles like service availability and transport costs.Objectives: To develop a mHealth app that is user-centered and context-specific for rehabilitation of MS symptoms, and to evaluate its clinical and cost effectiveness in individuals with RRMS.Methods: The proposed research will be conducted in two phases; the first phase (Phase 1a) will be focused on the development of mHealth app content (ReMiT-MS app trial I). The pilot phase (Phase 1b), where a prototype of the application will be designed, and its usability will be evaluated. Finally, in the second phase (Phase 2), the clinical and cost-effectiveness of the ReMiT-MS app for the rehabilitation of individuals with RRMS will be evaluated (ReMiT-MS app trial II).Conclusion: The findings of this proposed trial may provide a telerehabilitation platform for individuals with RRMS in a resource-limited setting and establish a low-cost healthcare delivery model. In addition, the results of this research work might open a new window in healthcare delivery in India and similar settings.Trial registration:  CTRI/2022/09/045266 [Registered on 06/09/2022]

This paper reviews the transformative impact of Artificial Intelligence (AI) on civil engineering. It explores AI's fundamental concepts and its applications across structural analysis, construction management, transportation, geotechnical engineering, and sustainability. The review highlights AI's role in automating tasks, predicting outcomes, and optimizing designs throughout project lifecycles. Recent advancements in AI-driven technologies for structural health monitoring, predictive maintenance, and risk assessment are discussed, along with challenges like data quality and model interpretability. Future trends such as autonomous construction and digital twins are examined, emphasizing the need for continued research and interdisciplinary collaboration. In conclusion, this paper offers insights for leveraging AI to address evolving challenges and opportunities in civil engineering, fostering innovation, sustainability, and resilience in infrastructure development.

The overall human fertility rate has been continuously declining across the globe for a number of reasons. This review summarizes data, which proposes that the use of disposable diapers for newborns and infants may incur reproductive harm in adulthood. More than 70 years ago, a disposable synthetic waterproof baby diaper was developed, mainly to reduce the burden of working mothers. Modern diapers feature the same original design, which contains one unit of disposable material wrapped around the perineum to collect urine and feces. This design results in an increase in internal area temperatures by 2-4 °C, which can be detrimental to the function and development of reproductive cells. Moreover, the standard diaper template promotes the free passage of feces, including fecal bacteria, to the genitals, which can lead to urogenital infection and reproductive impairments. The available clinical data suggest that diaper use during infancy may have a negative impact on fertility after puberty. There is a critical need for additional studies to better assess the impact of diapers on reproductive health.

The study is based on the characterization of different AI models applied in the public furniture design analyzing the conditions of risk, materiality, and integration of variables in two AI generative modeling algorithms. As risky since they contain flood-prone areas, low vegetation coverage, and underdevelopment of infrastructure; therefore, these characterizations are tested through artificial simulation. The experimental method is applied through laboratory tests of various material components and their structuring in 3D simulators to check their resistance and risk scenarios. The case study of one of the most risky and populated areas of the informal settlement area of the Northwest of Guayaquil, such as the Coop, is analyzed. Sergio Toral is the focal point for on-site testing. It is concluded that the generation of a planned scheme of ecological furniture with different materials responds more effectively to the territory and that through artificial simulation an advantage can be obtained in terms of execution time and results, thus demonstrating that artificial intelligence is an ideal tool. To generate furniture design proposals that are more diverse, innovative, and functional with the environment, but it generates a minimum level of error for specific designs in the experimental model_01 of 0.1% to 3% and a high level in the experimental model_02 with an increasing error from 20% to 70%. As a future line of research, it is proposed to generate a simulated system of all the new informal settlements in Guayaquil and establish focal points for the implementation of new ecological furniture.

Age estimation is an essential aspect of profile building in forensic investigations. Age estimation using teeth is one of the exciting applications of Forensic Odontology because teeth can survive post-mortem damage, so it is considered more suitable for age estimation. This study aims to estimate the age of individuals using the Cameriere method on teeth in various countries. The approach used in this research is a literature review study design compiled based on the Preferred Reporting System for Systematic Reviews and Meta-Analyses (PRISMA) guidelines from several articles with a period from 2007-2024. Scientific articles that meet the criteria will be analyzed using the Cameriere method to estimate the age of individuals. The search yielded 222 studies and only 12 scientific articles that met the requirements from the specified articles obtained. The population represents countries from various countries. The sample was in the age range of 4 years - 16 years. The results showed that the Cameriere method can be used to estimate the age of individuals quite accurately in various countries. However, there were some differences in accuracy between countries when using this method.

It was proposed to determine the response of chemical fertilization in the production of oil palm (Elaeis guineensis Jacq.) six years old in the area of Rio Negro Shambillo Padre Abad in order to have a sustainable and economic alternative of chemical fertilization in the field stage, which contributes to the survival of the palm and provides the necessary resistance against pests and diseases. A completely randomized block design (DBCA) was used with four repetitions and treatments, 96 plants / UE / treatment were used, the spacing was 9x9 in rows and plants. Results obtained indicate the treatments; T3 and T2 (16,54 – 15,48 kg / plant) obtained the highest averages by bunch weight, T1 and T3 (17,48 – 15,42 fruits / bunch) obtained the highest averages regarding number of fruit / bunch, T1 and T3 (13,93 – 11,59 to 45 cm ) obtained the highest averages for bunch length, T1 and T3 (7,33 – 5,52 cm) obtained the highest averages regarding fruit length, T1 and T3 (11.37 – 9.54 g) obtained the highest averages regarding fruit weight, T1 and T3 (10,46 – 10,37 kg) obtained the highest averages to yield per plant. The addition of chemical fertilizers or organic amendments increases the weight of the oil palm bunch, consequently the production in soils with medium, low fertility; chemical fertilization influences the number of clusters of oil palm produced on a given surface, any dose is used as an alternative to phosphorous fertilization in oil palm with a direct relationship between plant height and root length. 

Background: Non-Communicable Diseases (NCDs) in India have increased from 37.9% in 1990 to 61.8% in 2016. They are slowly progressive are of long duration and are responsible for more than 50% of the global burden of disease Very few studies have been conducted that studied the prevalence of risk factors in non-communicable diseases among medical students. The authors observed that most of the students are at risk of developing NCDs, and the cumulative effect of risk factors bundles up and eventually leads to disease as students advance through their lives.Aim and objectives: (i) To estimate the prevalence of risk factors of NCD amongst medical students, (ii) To study the association between various risk factors and NCDs in study subjects.Settings and design: A cross-sectional analytical study involving 362 undergraduate students of Rama Medical College using simple random sampling.Material and methods: The study used a pretested structured questionnaire which was conducted by using the WHO NCD steps approach.Statistical analysis used: Data analysis was done by using M S Excel and software SPSS version 26.Results: Our study results showed that physical activity is Prevalent in female students at 51% and in male students at 48.9%, almost equal. Junk food consumption had an overall prevalence of 69.34% of females outnumbering males in junk food consumption. The association of BMI with NCD as a risk factor was statistically significant in the current 75 smokers only.Conclusion: There is a huge opportunity to reduce modifiable risk factors and NCD among our future doctors by encouraging them to change their behavior-related lifestyles such as smoking habits, alcohol use, junk food, etc.

This article examines the relationship between Premenstrual Dysphoric Disorder (PMDD), neurovascular dynamics, and sensory sensitivities in autistic women during menstruation. The redirection of blood flow to the uterus during the menstrual cycle has been found to exacerbate cerebral perfusion deficits in neurodivergent individuals, particularly in the Prefrontal Cortex (PFC), which contributes to the mood dysregulation and emotional instability characteristic of PMDD. Autistic women, who often exhibit heightened sensory sensitivities, experience intensified discomfort during menstruation, as sensory overload and altered pain perception compound the emotional challenges of PMDD. These findings emphasize the need for neurodivergent-friendly menstrual products that mitigate both physical and emotional discomfort. Additionally, innovations using biodegradable materials, smart fabrics, and custom-fit menstrual solutions are discussed as potential breakthroughs to improve the quality of life for autistic women managing PMDD. This research highlights the importance of addressing both neurobiological and sensory aspects when designing interventions for PMDD in neurodivergent populations.