Health Strategy Research Articles

Breast cancer and the steadily increasing maternal age: are they colliding?

BackgroundPregnancy-related cancers are mostly breast cancers, and their incidence is likely to increase as a result of the modern trend of delaying childbearing. In particular, advanced maternal age increases breast cancer risk, and younger breast cancer patients are more likely to die and metastasize. This study compared a population with a high incidence of delayed childbearing with another population with a lower mean age at childbirth in order to determine whether breast cancer diagnosis and childbearing age overlap.MethodsWe retrospectively analyzed multiple data sources. The Surveillance, Epidemiology, and End Results (SEER) program, the United States National Center for Health Statistics as part of the National Vital Statistics System, the United Nations Population Division, the GLOBOCAN Cancer Observatory, the CLIO-INFRA project database, the Human Fertility Database, and anonymized local data were used.ResultsAs women’s age at delivery increased, the convergence between their age distribution at breast cancer diagnosis and childbearing increased. In addition, the overlap between the two age distributions increased by more than 200% as the average age at delivery increased from 27 to 35 years.ConclusionsAs women’s average childbearing age has progressively risen, pregnancy and breast cancer age distributions have significantly overlapped. This finding emphasizes the need for increased awareness and educational efforts to inform women about the potential consequences of delayed childbearing. By providing comprehensive information and support, women can make more informed decisions about their reproductive health and cancer prevention strategies.

Research outcomes informing the selection of public health interventions and strategies to implement them: A cross-sectional survey of Australian policy-maker and practitioner preferences

BackgroundA key role of public health policy-makers and practitioners is to ensure beneficial interventions are implemented effectively enough to yield improvements in public health. The use of evidence to guide public health decision-making to achieve this is recommended. However, few studies have examined the relative value, as reported by policy-makers and practitioners, of different broad research outcomes (that is, measures of cost, acceptability, and effectiveness). To guide the conduct of research and better inform public health policy and practice, this study aimed at describing the research outcomes that Australian policy-makers and practitioners consider important for their decision-making when selecting: (a) public health interventions; (b) strategies to support their implementation; and (c) to assess the differences in research outcome preferences between policy-makers and practitioners.MethodAn online value-weighting survey was conducted with Australian public health policy-makers and practitioners working in the field of non-communicable disease prevention. Participants were presented with a list of research outcomes and were asked to select up to five they considered most critical to their decision-making. They then allocated 100 points across these – allocating more points to outcomes perceived as more important. Outcome lists were derived from a review and consolidation of evaluation and outcome frameworks in the fields of public health knowledge translation and implementation. We used descriptive statistics to report relative preferences overall and for policy-makers and practitioners separately.ResultsOf the 186 participants; 90 primarily identified as policy-makers and 96 as public health prevention practitioners. Overall, research outcomes of effectiveness, equity, feasibility, and sustainability were identified as the four most important outcomes when considering either interventions or strategies to implement them. Scores were similar for most outcomes between policy-makers and practitioners.ConclusionFor Australian policy-makers and practitioners working in the field of non-communicable disease prevention, outcomes related to effectiveness, equity, feasibility, and sustainability appear particularly important to their decisions about the interventions they select and the strategies they employ to implement them. The findings suggest researchers should seek to meet these information needs and prioritize the inclusion of such outcomes in their research and dissemination activities. The extent to which these outcomes are critical to informing the decision of policy-makers and practitioners working in other jurisdictions or contexts warrants further investigation.

Barriers and enablers to a healthy lifestyle in people with infertility: a mixed-methods systematic review.

While there is a recognized role of optimizing lifestyle (diet and physical activity) behaviours in the management of infertility, the best practice remains unknown and factors influencing the lifestyle of people with infertility are not well understood. This systematic review evaluated barriers and enablers to a healthy lifestyle in people with infertility, from the perspectives of people with infertility and health professionals, in order to inform optimal behavioural change strategies. Ovid MEDLINE(R), PsycINFO, EMBASE, EBM Reviews, and CINAHL were searched from inception to 28 August 2023. Eligible studies were qualitative and quantitative primary studies that explored barriers and/or enablers to lifestyle for infertility management. Quality assessment was performed using the Centre for Evidence-Based Management Critical Appraisal of a Survey Tool and the Critical Appraisal Skills Programme Qualitative Checklist. Data were analysed by thematic analysis with themes mapped to the Capability, Opportunity, Motivation and Behaviour (COM-B) model and Theoretical Domains Framework (TDF). After screening 12326 abstracts and 99 full-texts, 27 studies were included (12 quantitative, 6 qualitative and 9 mixed-methods) with 22 studies of women with infertility (n = 2524), 11 studies of men with infertility (n = 1407), and 6 studies of health professionals (n = 372). We identified barriers and enablers relating to capability (e.g. strategies for behaviour change), opportunity (e.g. limited time, resources, and money), and motivation (e.g. interplay between lifestyle and emotional state). Based on the identified themes, suggested intervention components to integrate into lifestyle management of infertility include facilitating development of self-management skills to support lifestyle change (e.g. self-monitoring, action planning, and goal setting) and incorporating mental health strategies (e.g. providing information about the benefits of healthy lifestyle behaviours for mental health and encouraging patients to reframe healthy lifestyle behaviours as self-care strategies). The findings have identified important factors that influence lifestyle management in people with infertility and have suggested relevant intervention components to consider when designing interventions. Given the paucity of qualitative studies identified, more research is needed to further understand the complex and interacting factors that shape lifestyle during the fertility journey.

Using an mHealth approach to collect patient-generated health data for predicting adverse health outcomes among adult survivors of childhood cancer

IntroductionCancer therapies predispose childhood cancer survivors to various treatment-related late effects, which contribute to a higher symptom burden, chronic health conditions (CHCs), and premature mortality. Regular monitoring of symptoms between clinic visits is useful for timely medical consultation and interventions that can improve quality of life (QOL). The Health Share Study aims to utilize mHealth to collect patient-generated health data (PGHD; daily symptoms, momentary physical health status) and develop survivor-specific risk prediction scores for mitigating adverse health outcomes including poor QOL and emergency room admissions. These personalized risk scores will be integrated into the hospital-based electronic health record (EHR) system to facilitate clinician communications with survivors for timely management of late effects.MethodsThis prospective study will recruit 600 adult survivors of childhood cancer from the St. Jude Lifetime Cohort study. Data collection include 20 daily symptoms via a smartphone, objective physical health data (physical activity intensity, sleep performance, and biometric data including resting heart rate, heart rate variability, oxygen saturation, and physical stress) via a wearable activity monitor, patient-reported outcomes (poor QOL, unplanned healthcare utilization) via a smartphone, and clinically ascertained outcomes (physical performance deficits, onset of/worsening CHCs) assessed in the survivorship clinic. Participants will complete health surveys and physical/functional assessments in the clinic at baseline, 2) report daily symptoms, wear an activity monitor, measure blood pressure at home over 4 months, and 3) complete health surveys and physical/functional assessments in the clinic 1 and 2 years from the baseline. Socio-demographic and clinical data abstracted from the EHR will be included in the analysis. We will invite 20 cancer survivors to investigate suitable formats to display predicted risk information on a dashboard and 10 clinicians to suggest evidence-based risk management strategies for adverse health outcomes.AnalysisMachine and statistical learning will be used in prediction modeling. Both approaches can handle a large number of predictors, including longitudinal patterns of daily symptoms/other PGHD, along with cancer treatments and socio-demographics.ConclusionThe individualized risk prediction scores and added communications between providers and survivors have the potential to improve survivorship care and outcomes by identifying early clinical presentations of adverse events.

An Analysis of Hospitalized Burn Injuries in a Burn Care Unit of Northern Bangladesh

Introduction: Burn injuries remain a significant public health issue, especially in low- and middle-income countries where comprehensive data is scarce. This study provides a detailed analysis of burn injuries in Northern Bangladesh, focusing on epidemiological characteristics and factors influencing burn severity and incidents. Methods: This retrospective study analyzed 477 cases of acute, unintentional burns recorded between January 2022 and December 2022 at the Rangpur Medical College Hospital's Burn and Plastic Surgery unit. Data on demographics, burn types, etiology, and severity were collected from hospital registers. Statistical analysis, including chi-square tests and logistic regression, was used to identify predictors of burn severity. Result: Of the 477 documented cases, females represented 62.05% (296 cases) and males 37.95% (181 cases). Flame burns predominated, comprising 70% of incidents, significantly impacting females engaged in cooking activities. The data revealed a distinct seasonal trend with a significant peak in January, where 40% (191 cases) of annual burn incidents occurred due to campfire exposure. The analysis further demonstrated that burns covering more than 30% of total body surface area (TBSA) were significantly associated with higher morbidity and mortality, with third-degree burns occurring in 92.9% of females compared to 55.8% of males. Logistic regression identified age (OR = 1.28, CI [1.13-2.71]), gender (OR = 1.75, CI [1.11-1.47]), and the cause of ignition (OR = 0.56, CI [0.41-0.76]) as significant predictors of burn severity. Conclusion: The findings emphasize the need for targeted interventions to address the high incidence of burns among young to middle-aged women, particularly through safer cooking practices and awareness campaigns. Additionally, public health strategies should consider seasonal risks and promote safer heating methods during colder months. This study underlines critical areas for intervention and highlights the importance of culturally tailored public health strategies to reduce burn injuries in Northern Bangladesh.

An examination from 1990 to 2019: investigating the burden of knee dislocation on a global scale

BackgroundThe literature on the disease burden of knee dislocation is lacking. The aim of the study is to systematically assess the global burden, trends, causes, and influencing factors of knee dislocation.MethodsThe incidence and years lived with disability (YLDs) of knee dislocation were assessed globally, as well as at the regional and national levels from 1990 to 2019. Subsequent analyses focused on the age and gender distribution related to knee dislocation. An investigation into the main causes of knee dislocation followed. Finally, the Pearson correlation between age-standardized rates and social-demographic index (SDI) was calculated.ResultsAlthough the age-standardized incidence and YLDs rate of knee dislocation decreased over the past 30 years, the incidence and YLDs number increased. The disease burden remained higher in males compared to females. Males and females showed different patterns of incidence rates in each age group, but their YLDs rates were similar. Over the past 30 years, the disease burden of knee dislocation increased in the older population while declining in the younger population. Falls had consistently emerged as the most important cause for both incidence and YLD rates. Additionally, a positive correlation between SDI and the disease burden of knee dislocation was found.ConclusionThe disease burden of knee dislocation remains heavy. It is essential to recognize the evolving epidemiology of knee dislocation. Utilizing data-driven assessments can assist in formulating public health policies and strategies to improve overall well-being.

Utilizing social determinants of health to identify most vulnerable neighborhoods–Latent class analysis and GIS map

ObjectivesPublic Health officials are often challenged to effectively allocate limited resources. Social determinants of health (SDOH) may cluster in areas to cause unique profiles related to various adverse life events. The authors use the framework of unintended teen pregnancies to illustrate how to identify the most vulnerable neighborhoods. MethodsThis study used data from the U.S. American Community Survey, Princeton Eviction Lab, and Connecticut Office of Vital Records. Census tracts are small statistical subdivisions of a county. Latent class analysis (LCA) was employed to separate the 832 Connecticut census tracts into four distinct latent classes based on SDOH, and GIS mapping was utilized to visualize the distribution of the most vulnerable neighborhoods. GEE Poisson regression model was used to assess whether latent classes were related to the outcome. Data were analyzed in May 2021. ResultsLCA's results showed that class 1 (non-minority non-disadvantaged tracts) had the least diversity and lowest poverty of the four classes. Compared to class 1, class 2 (minority non-disadvantaged tracts) had more households with no health insurance and with single parents; and class 3 (non-minority disadvantaged tracts) had more households with no vehicle available, that had moved from another place in the past year, were low income, and living in renter-occupied housing. Class 4 (minority disadvantaged tracts) had the lowest socioeconomic characteristics. ConclusionsLCA can identify unique profiles for neighborhoods vulnerable to adverse events, setting up the potential for differential intervention strategies for communities with varying risk profiles. Our approach may be generalizable to other areas or other programs. Key messagesWhat is already known on this topicPublic health practitioners struggle to develop interventions that are universally effective. The teen birth rates vary tremendously by race and ethnicity. Unplanned teen pregnancy rates are related to multiple social determinants and behaviors. Latent class analysis has been applied successfully to address public health problems.What this study addsWhile it is the pregnancy that is not planned rather than the birth, access to pregnancy intention data is not available resulting in a dependency on teen birth data for developing public health strategies. Using teen birth rates to identify at-risk neighborhoods will not directly represent the teens at risk for pregnancy but rather those who delivered a live birth. Since teen birth rates often fluctuate due to small numbers, especially for small neighborhoods, LCA may avoid some of the limitations associated with direct rate comparisons. The authors illustrate how practitioners can use publicly available SDOH from the Census Bureau to identify distinct SDOH profiles for teen births at the census tract level.How this study might affect research, practice or policyThese profiles of classes that are at heightened risk potentially can be used to tailor intervention plans for reducing unintended teen pregnancy. The approach may be adapted to other programs and other states to prioritize the allocation of limited resources.

Association between mukbang and cookbang viewing and body image perception and BMI in adolescents

BackgroundAdolescence is a critical period for establishing healthy eating habits and weight management, essential for preventing obesity and promoting overall health. This study investigates the impact of mukbang and cookbang—popular online broadcasts in Korea that feature excessive consumption of food—on the dietary habits and body image perception of Korean adolescents. With digital media, especially platforms like YouTube, becoming an integral part of daily life, these broadcasts have the potential to significantly influence adolescent health behaviors.MethodsEmploying data from the 18th Korea Youth Risk Behavior Web-based Survey (2022), this descriptive survey research explores the relationship between watching mukbang and cookbang and various health-related factors among adolescents. The survey’s comprehensive dataset provided a unique opportunity to examine this association in a population that is increasingly exposed to digital media content. The analysis focused on the frequency of watching mukbang and cookbang, their impact on eating habits, body mass index (BMI), body shape perception, and body image distortion among adolescents.ResultsThe results revealed a significant engagement with mukbang and cookbang among adolescents, with notable gender differences in viewing habits and effects. Increased frequency of viewing was associated with negative impacts on eating habits and body image perception. Furthermore, psychological factors such as stress levels and sleep quality emerged as significant predictors of the frequency of watching these broadcasts.ConclusionsThis study highlights the need for further investigation into the causal relationships between mukbang and cookbang viewership and adolescent health outcomes. The findings suggest the importance of developing targeted interventions to mitigate the negative influences of such content on adolescents’ eating habits and body perceptions. Given the widespread popularity of these broadcasts, it is crucial to address their potential health implications through public health strategies, educational content, and policy development aimed at promoting healthier lifestyles among adolescents.

Understanding COVID-19 propagation: a comprehensive mathematical model with Caputo fractional derivatives for Thailand

This research introduces a sophisticated mathematical model for understanding the transmission dynamics of COVID-19, incorporating both integer and fractional derivatives. The model undergoes a rigorous analysis, examining equilibrium points, the reproduction number, and feasibility. The application of fixed point theory establishes the existence of a unique solution, demonstrating stability in the model. To derive approximate solutions, the generalized Adams-Bashforth-Moulton method is employed, further enhancing the study's analytical depth. Through a numerical simulation based on Thailand's data, the research delves into the intricacies of COVID-19 transmission, encompassing thorough data analysis and parameter estimation. The study advocates for a holistic approach, recommending a combined strategy of precautionary measures and home remedies, showcasing their substantial impact on pandemic mitigation. This comprehensive investigation significantly contributes to the broader understanding and effective management of the COVID-19 crisis, providing valuable insights for shaping public health strategies and guiding individual actions.

Persistent high mortality rates for Diabetes Mellitus and Hypertension after excluding deaths associated with COVID-19 in Brazil, 2020-2022.

The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) posed a significant public health challenge globally, with Brazil being no exception. Excess mortality during this period reached alarming levels. Cardiovascular diseases (CVD), Systemic Hypertension (HTN), and Diabetes Mellitus (DM) were associated with increased mortality. However, the specific impact of DM and HTN on mortality during the pandemic remains poorly understood. This study analyzed mortality data from Brazil's mortality system, covering the period from 2015 to 2022. Data included all causes of death as listed on death certificates, categorized by International Classification of Diseases 10th edition (ICD-10) codes. Population data were obtained from the Brazilian Census. Mortality ratios (MRs) were calculated by comparing death rates in 2020, 2021, and 2022 to the average rates from 2015 to 2019. Adjusted MRs were calculated using Poisson models. Between 2015 and 2022, Brazil recorded a total of 11,423,288 deaths. Death rates remained relatively stable until 2019 but experienced a sharp increase in 2020 and 2021. In 2022, although a decrease was observed, it did not return to pre-pandemic levels. This trend persisted even when analyzing records mentioning DM, HTN, or CVD. Excluding death certificates mentioning COVID-19 codes, the trends still showed increases from 2020 through 2022, though less pronounced. This study highlights the persistent high mortality rates for DM and HTN in Brazil during the years 2020-2022, even after excluding deaths associated with COVID-19. These findings emphasize the need for continued attention to managing and preventing DM and HTN as part of public health strategies, both during and beyond the COVID-19 pandemic. There are complex interactions between these conditions and the pandemic's impact on mortality rates.

Latent profile analysis of Eysenck’s personality dimensions and psychological constructs in university students

BackgroundThe exploration of personality traits in relation to psychological constructs has become increasingly relevant in understanding the mental health of university students (the emerging adulthood). Studies have focused on how dimensions intersect with various psychological parameters.AimThe study aims to identify distinct personality profiles among university students based on Eysenck’s personality dimensions and investigate how these profiles differ across psychological constructs.MethodA quantitative methodology was utilized, involving 708 university students from Wenzhou and Nanjing in China as participants. The research employed the Eysenck Personality Questionnaire along with other psychological measures. Latent Profile Analysis was applied to categorize the participants into distinct personality profiles.ResultsFour distinct personality profiles emerged: ‘The Reserved Analyst,’ ‘The Social Diplomat,’ ‘The Unconventional Pragmatist,’ and ‘The Impulsive Truth-Teller.’ Significant differences were found among these profiles on various psychological constructs. ‘The Social Diplomat’ exhibited the most adaptive psychological profile, with higher cognitive reappraisal (F = 45.818, p < 0.001, η2 = 0.163), meaning in life (F = 17.764, p < 0.001, η2 = 0.070), and positive coping (F = 40.765, p < 0.001, η2 = 0.148) compared to other profiles. Conversely, ‘The Reserved Analyst’ showed higher intolerance of uncertainty (F = 13.854, p < 0.001, η2 = 0.056) and state anxiety (F = 26.279, p < 0.001, η2 = 0.101).ConclusionThis study enriches the understanding of personality traits in relation to psychological constructs within the context of university student populations. By identifying distinct personality profiles, it lays the groundwork for developing tailored mental health strategies that cater to the specific needs of different student groups.

Impacts of socioeconomic and environmental factors on neoplasms incidence rates using machine learning and GIS: a cross-sectional study in Iran

Neoplasm is an umbrella term used to describe either benign or malignant conditions. The correlations between socioeconomic and environmental factors and the occurrence of new-onset of neoplasms have already been demonstrated in a body of research. Nevertheless, few studies have specifically dealt with the nature of relationship, significance of risk factors, and geographic variation of them, particularly in low- and middle-income communities. This study, thus, set out to (1) analyze spatiotemporal variations of the age-adjusted incidence rate (AAIR) of neoplasms in Iran throughout five time periods, (2) investigate relationships between a collection of environmental and socioeconomic indicators and the AAIR of neoplasms all over the country, and (3) evaluate geographical alterations in their relative importance. Our cross-sectional study design was based on county-level data from 2010 to 2020. AAIR of neoplasms data was acquired from the Institute for Health Metrics and Evaluation (IHME). HotSpot analyses and Anselin Local Moran's I indices were deployed to precisely identify AAIR of neoplasms high- and low-risk clusters. Multi-scale geographically weight regression (MGWR) analysis was worked out to evaluate the association between each explanatory variable and the AAIR of neoplasms. Utilizing random forests (RF), we also examined the relationships between environmental (e.g., UV index and PM2.5 concentration) and socioeconomic (e.g., Gini coefficient and literacy rate) factors and AAIR of neoplasms. AAIR of neoplasms displayed a significant increasing trend over the study period. According to the MGWR, the only factor that significantly varied spatially and was associated with the AAIR of neoplasms in Iran was the UV index. A good accuracy RF model was confirmed for both training and testing data with correlation coefficients R2 greater than 0.91 and 0.92, respectively. UV index and Gini coefficient ranked the highest variables in the prediction of AAIR of neoplasms, based on the relative influence of each variable. More research using machine learning approaches taking the advantages of considering all possible determinants is required to assess health strategies outcomes and properly formulate policy planning.

Professionals’ perceptions of the Saskatoon Mental Health Strategy (MHS) Court: a qualitative analysis

The Saskatoon Mental Health Strategy (MHS) aims to improve supervision for justice-involved individuals with mental illness and cognitive impairments. Given the limited research on certain aspects of mental health courts, the current study seeks to add to this growing body of literature by exploring professionals’ perceptions of the Saskatoon MHS Court. Semi-structured interviews were conducted with a purposeful sample of nine professionals involved in the Saskatoon MHS Court, and results were divided into three main themes (balancing priorities and viewpoints, resources, and connections) with corresponding subthemes. Despite challenges, professionals thought that the Court was meeting its goals by treating the underlying causes of offending behaviour rather than simply criminalizing the behaviours. Suggestions for improving the overall effectiveness and functioning of the Court are discussed.

Virulence and Antimicrobial Resistance of Listeria monocytogenes Isolated from Ready-to-Eat Food Products in Romania

Listeria monocytogenes (L. monocytogenes) poses a significant threat to food safety due to its ability to cause severe human illness and its resistance to various antibiotics and environmental conditions. This study investigated the prevalence, serotype distribution, virulence gene profiles, and antimicrobial resistance patterns of L. monocytogenes in ready-to-eat (RTE) food products from Romania. A total of 8151 samples were analyzed, including various processed dairy, bovine, poultry, pork, and fish products. Bacterial isolation was conducted using the classical standard method, followed by confirmation through biochemical and molecular testing. Among the isolated strains, serotypes 1/2a, 1/2b, and 1/2c were identified, with a prevalence of 75% for serotype 1/2a. Additionally, virulence genes specific to listeriolysin O (hlyA) and regulatory factor A (prfA) were detected in all isolates. Antimicrobial susceptibility testing revealed varying resistance patterns among the L. monocytogenes strains. Trimethoprim-sulfamethoxazole and oxacillin showed the highest prevalence of resistance at 26.92% and 23.07%, respectively. However, all strains remained susceptible to ciprofloxacin, levofloxacin, and moxifloxacin. Notably, 23.07% of the isolates exhibited multidrug resistance, with the most common pattern being resistance to oxacillin, penicillin, and tetracycline. Analysis of antimicrobial resistance genes identified tetracycline resistance genes, particularly tet(C), tet(M), and tet(K), in a significant proportion of isolates. The presence of ampC and dfrD genes was also notable, indicating potential mechanisms of resistance. These results emphasize the necessity for ongoing surveillance of L. monocytogenes in RTE foods and emphasize the importance of thorough monitoring of antimicrobial resistance to guide public health strategies within the European Union.

Estimating and modeling spontaneous mobility changes during the COVID-19 pandemic without stay-at-home orders

Comprehending the complex interplay among urban mobility, human behavior, and the COVID-19 pandemic could deliver vital perspectives to steer forthcoming public health endeavors. In late 2022, China lifted its "Zero-COVID" policy and rapidly abandoned nearly all interventions. It provides a unique opportunity to observe spontaneous mobility changes without government restriction throughout such a pandemic with high infection. Based on 148 million travel data from the public bus, subway, and taxi systems in Shenzhen, China, our analysis reveals discernible spatial discrepancies within mobility patterns. This phenomenon can be ascribed to the heterogeneous responses of mobility behavior tailored to specific purposes and travel modes in reaction to the pandemic. Considering both the physiological effects of virus infection and subjective willingness to travel, a dynamic model is proposed and capable of fitting fine-grained urban mobility. The analysis and model can interpret mobility data and underlying population behavior to inform policymakers when evaluating public health strategies against future large-scale infectious diseases.

Analysis of The Feasibility of Hydrogen Injection in Pipeline Gas Challenges in The Management of Acute Myocardial Infarction in Patients With Associated Comorbidities: A Review of The Literature

Objective: The objective of this study is to investigate the challenges in the management of Acute Myocardial Infarction in patients with associated comorbidities, with the aim of identifying gaps in treatment and proposing strategies to improve care. Theoretical Framework: Modifiable risk factors play a significant role in the incidence of myocardial infarction, as evidenced by a relevant international study. Understanding the epidemiology of heart attack, including its prevalence, incidence and geographic distribution, is essential to develop effective prevention and control strategies. Identifying and managing traditional risk factors, such as smoking, hypertension, hyperlipidemia and obesity, is crucial in the preventive approach to this condition. Method: Through an integrative literature review, recent studies are explored that cover everything from epidemiology and risk factors to prevention and treatment strategies. An initial selection of 153 articles was refined to 10 studies that met all criteria. Results and Discussion: The results highlight an increasing trend in the prevalence of Coronary Artery Disease (CAD), with a stabilization in the age-standardized prevalence rate, suggesting advances in prevention and treatment. The analysis emphasizes the importance of robust and inclusive public health strategies, focused on educating the population about the risks, ensuring rapid access to treatment, and reducing inequalities in access to healthcare. Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how results can influence healthcare management, public policy formation, and clinical practice in cardiology. These implications may include the need for continuing education programs for healthcare professionals, the implementation of integrated care models, and the adaptation of healthcare systems to meet the specific needs of patients with comorbidities associated with AMI. Originality/Value: This study contributes to the literature by highlighting the specific challenges faced in the management of AMI in patients with comorbidities, providing valuable insights to improve the quality of AMI care and reduce disparities in treatment. The relevance and value of this research are evidenced by its contribution to a more comprehensive understanding of the factors that influence the prognosis and quality of life of these patients.

Demographic, socioeconomic, and health structure factors associated with the use of HIV pre-exposure prophylaxis in Brazil: A nationwide ecological study.

Aims: To assess the cumulative rate of HIV Pre-Exposure Prophylaxis (PrEP) users in Brazil since its 2018 implementation and to analyze the association between PrEP usage and state-level structural factors. Methods: A nationwide ecological study from 2018 to 2022 was conducted, examining the 5-year cumulative rate of PrEP users in relation to demographic, socioeconomic, and healthcare infrastructure variables. Multiple linear regression analysis identified significant predictors of PrEP utilization. Results: Between 2018 and 2022, 124,796 individuals used PrEP, with a cumulative rate of 61.5 per 100,000 population. The highest usage was in Minas Gerais, São Paulo, and Santa Catarina, while the lowest was in Distrito Federal, Maranhão, and Alagoas. Regression analysis showed that higher PrEP usage was associated with lower population density, a younger median age, a lower male to female ratio, and reduced social vulnerability. Additionally, PrEP usage was positively associated with the density of medical doctors and the number of dispensing units. Conclusions: The study reveals significant regional disparities in PrEP usage across Brazil, influenced by socioeconomic and healthcare factors. It highlights the need for targeted public health strategies to enhance PrEP access and uptake, especially in socially vulnerable regions.

The General Public and Young Adults’ Knowledge and Perception of Palliative Care: A Systematic Review

Background: As a result of demographic change, chronic and oncological diseases are gaining importance in the context of public health. Palliative care plays a crucial role in maintaining the quality of life of those affected. International guidelines demand access to palliative care not only for the elderly but also for younger people who face severe illnesses. It can be assumed that palliative care will become increasingly important for them. In order to develop public health strategies which are able to promote palliative care, it is important to assess the knowledge of, and attitude towards, palliative care as found among members of the general public and its specific target groups. In particular, little is known about young adults’ knowledge and perceptions of palliative care. Objectives and design: This work aimed to assess the understanding and viewpoints regarding palliative care among the general population and among young adults aged 18 to 24. We therefore conducted a systematic review, which, for this target population, could be seen as a novel approach. Methods: Exclusion and inclusion criteria were developed using the PICOS process. Literature was researched within MEDLINE (via PubMed), Google Scholar and Web of Science. A search string was developed and refined for all three databases. Grey literature was included. Duplicates were excluded using Mendeley. The literature was independently screened by two researchers. Narrative synthesis was used to answer the main research question. Results: For the general public, palliative care is still associated with death and dying and comforting sick people towards the end of their lives. Multiple social determinants are linked to better knowledge of palliative care: higher education, higher income, female gender, having relatives that received palliative care, and permanent employment. The population’s knowledge of palliative care structures increases, the longer such structures have been established within a country. Young adults are familiar with the term palliative care, yet their understanding lacks nuance. They associate palliative care with death and dying and perceive palliative care to be a medical discipline primarily for the elderly. Nevertheless, young adults demand participation within the planning of interventions to destigmatize palliative care. Conclusions: The general public still lacks a detailed understanding of palliative care. Palliative care faces stigma at multiple levels, which creates barriers for those who set out to implement it. However, addressing young adults as a crucial peer group can help break down barriers and promote access to palliative care.

A Latent Profile Analysis of COVID-19 and Influenza Vaccine Hesitancy among Economically Marginalized Hispanic Mothers of Children under Five Years of Age in the US.

Rates of COVID-19 and influenza vaccine coverage among Hispanic young children continue to be low in comparison to other racial and ethnic groups in the United States. This study utilized a person-centered approach to understand COVID-19 and influenza vaccination hesitancy for young children under the age of five among 309 economically marginalized Hispanic mothers. Drawing on the cultural health belief model, in 2022, following FDA approval of the COVID-19 vaccine for young children, a latent profile analysis was conducted from which three profiles emerged. The Low Acculturation group (Profile 1), was notable for lower acculturation, moderate cultural medical mistrust, lower access to vaccines, and higher financial security. Compared to Profile 1, the two remaining profiles had higher acculturation and lower levels of financial security, but differed in that the High Acculturation group (Profile 2) had higher vaccine accessibility and the Moderate Acculturation group (Profile 3) had higher cultural medical mistrust. Relative to other profiles, Low Acculturation mothers were more likely to plan to vaccinate their child against current and seasonal COVID-19 and seasonal influenza, report that their child's health provider recommended the COVID-19 shot and reported lower COVID-19 and influenza vaccine mistrust. However, they also reported lower vaccine accessibility and moderate levels of cultural medical mistrust. The study highlights the importance of developing person-centered public health strategies that draw on Hispanic cultural values and consider diversity within lower income Hispanic populations to increase future pediatric COVID-19 and flu vaccination coverage among young Hispanic children.

A stochastic approach for co-evolution process of virus and human immune system

Infectious diseases have long been a shaping force in human history, necessitating a comprehensive understanding of their dynamics. This study introduces a co-evolution model that integrates both epidemiological and evolutionary dynamics. Utilizing a system of differential equations, the model represents the interactions among susceptible, infected, and recovered populations for both ancestral and evolved viral strains. Methodologically rigorous, the model’s existence and uniqueness have been verified, and it accommodates both deterministic and stochastic cases. A myriad of graphical techniques have been employed to elucidate the model’s dynamics. Beyond its theoretical contributions, this model serves as a critical instrument for public health strategy, particularly predicting future outbreaks in scenarios where viral mutations compromise existing interventions.