Community Medicine Research Articles

Evaluating the new family medicine internship programmes in the Western Cape, South Africa

Background: In 2021, South Africa introduced a new 6-month internship in family medicine and primary care. This study aimed to assess the new rotation at district health facilities in the Western Cape.Methods: A descriptive survey of interns and supervisors, as phase-two of an exploratory sequential mixed methods study. Questionnaires were developed from a descriptive exploratory qualitative study. Data were analysed with the Statistical Package for Social Sciences.Results: Questionnaires were completed by 72 interns (response rate 21%) and 36 supervisors (response rate 90%), across 10 training programmes. Interns felt more independent (97.2%), confident (90.3%) and resilient (91.6%). They learnt to manage undifferentiated and chronic conditions (91.6%), to refer patients (94.3%) and conduct procedures (77.8%). Most interns were not exposed to community-based services (68.0%) and continuity of care (54.1%). Supervision was mostly adequate during the day (79.1%) and afterhours (80.6%). Many interns reported no structured teaching programme (41.7% – 55.6%). Most supervision was from medical officers and registrars. Supervisors saw interns as valuable members of the clinical team (100.0%), who required extra support and administration (42.5%). The majority of interns (75.0%) and supervisors (72.7%) thought the rotation was the right length and the best preparation for community service (67.6%).Conclusion: The rotation met most expectations of the Health Professions Council of South Africa. Programmes need to improve exposure to community-orientated primary care, public health medicine, palliative and ongoing care. Supervision and orientation of interns needs improvement.Contribution: This is the first evaluation of the new family medicine internship programme in South Africa.

Impact of the Use of Street Play Mode of Education on the Self-care Capacity of Village Women for Lifestyle Modification for Prevention of Hypertension

Objectives: The objectives of this study were as follows: (1) To ascertain the prevalence of hypertension (HTN) among village women. (2) To determine the impact of an intervention strategy of Behavior Change Communication utilizing a camp approach supplemented with nukkad natak on the self-care capacity of village women for lifestyle modification for prevention of HTN. Materials and Methods: The study was conducted during June–July 2023 in the field practice area of Community Medicine of a medical college. Sample size was arbitrary (n = 200) out of all willing women attending outpatient departments during the study period. First, a baseline assessment of the study population was done. Street plays were held for the study population on HTN-related healthy lifestyle. Changes in their knowledge were documented. Appropriate statistical analysis was done using Excel sheets. Results: Most (79%) of the women in the village had normal blood pressure, with 19% of them having mild and 2% had moderate HTN. Most hypertensive women (72%) were not taking medications. Out of 12 hypertensive women who were taking antihypertensive medications, half of them were regular. There was a significant improvement in the score of self-care capacity, treatment HTN diet-related knowledge of the women after the intervention. Respondents liked the idea of organizing drama to propagate health-related messages. Conclusion: One in every five persons in the study population of rural health training centre (RHTC) had HTN. Most hypertensive women (72%) were not taking medications. Those who were taking antihypertensive medications, only half were regular in it. After Nukkad Natak based intervention, there was a significant improvement in the scores of HTN diet and treatment-related knowledge and self-care capacity of the respondents for prevention of HTN. Our respondents liked the idea of organizing drama to propagate health-related messages.

Predictors of accessing seasonal malaria chemoprevention medicines through non-door-to-door distribution in Nigeria

BackgroundIn Nigeria, seasonal malaria chemoprevention (SMC) is typically administered door-to-door to children under five by community medicine distributors during high transmission seasons. While door-to-door distribution (DDD) is exclusively employed in Nigeria as part of standard operating procedures of SMC programmes, some households access SMC through non-DDD channels, such as fixed-point distributions, health facilities, and private purchase. However, analysis of access to SMC medicines through non-DDD has been limited, with little evidence of its outcomes on adherence to the three-day complete course of SMC medicines and caregiver actions in the event of adverse reactions to SMC medicines.MethodsData were obtained from SMC end-of-round coverage surveys conducted in Nigeria in 2021 and 2022, including 25,278 households for the analysis. The proportion of households accessing SMC medicine through non-DDD and the distribution of various non-DDD sources of SMC medicines were described. Multivariate random-effects logistic regression models were performed to identify predictors of accessing SMC medicines through non-DDD. The associations between non-DDD, and caregiver-reporting of adherence to complete administration of SMC medicines and caregiver actions in the event of adverse reactions to SMC medicines were also assessed.ResultsLess than 2% (314/24003) of households accessed SMC medicines through non-DDD in the states surveyed. Over 60% of non-DDD access was via health facility personnel and community medicine distributors from different locations. Variables associated with non-DDD access included heads of household being born in the local state (OR = 0.68, 95% CI 0.47 to 0.90), households residing in the study state since the first cycle of the SMC round (OR = 0.39, 95% CI 0.17 to 0.88), households with high wealth index (OR = 1.36, 95% CI 1.01 to 1.82), and caregivers hearing about date of SMC delivery in the previous cycle (OR = 0.18, 95%CI 0.14 to 0.24). Furthermore, non-DDD was associated with reduced SMC adherence and higher caregiver non-reporting of adverse reactions to SMC medicines in children compared with DDD.ConclusionThis study provides evidence on the characteristics of households accessing SMC medicines through non-DDD and its potential negative outcomes on adherence to SMC medicine and adverse reaction reporting, underscoring potential implementation issues that may arise if non-DDD delivery models are adopted in SMC, particularly in places where DDD had been firstly used.

"Learner’s Perspectives On Competency-Based Medical Education In Community Medicine: A Study At Noida International Institute Of Medical Sciences (NIIMS) In District Gautam Budh Nagar"

"Learner’s Perspectives On Competency-Based Medical Education In Community Medicine: A Study At Noida International Institute Of Medical Sciences (NIIMS) In District Gautam Budh Nagar"

Identification of bacterial determinants of tuberculosis infection and treatment outcomes: a phenogenomic analysis of clinical strains.

Bacterial diversity could contribute to the diversity of tuberculosis infection and treatment outcomes observed clinically, but the biological basis of this association is poorly understood. The aim of this study was to identify associations between phenogenomic variation in Mycobacterium tuberculosis and tuberculosis clinical features. We developed a high-throughput platform to define phenotype-genotype relationships in M tuberculosis clinical isolates, which we tested on a set of 158 drug-sensitive M tuberculosis strains sampled from a large tuberculosis clinical study in Ho Chi Minh City, Viet Nam. We tagged the strains with unique genetic barcodes in multiplicate, allowing us to pool the strains for in-vitro competitive fitness assays across 16 host-relevant antibiotic and metabolic conditions. Relative fitness was quantified by deep sequencing, enumerating output barcode read counts relative to input normalised values. We performed a genome-wide association study to identify phylogenetically linked and monogenic mutations associated with the in-vitro fitness phenotypes. These genetic determinants were further associated with relevant clinical outcomes (cavitary disease and treatment failure) by calculating odds ratios (ORs) with binomial logistic regressions. We also assessed the population-level transmission of strains associated with cavitary disease and treatment failure using terminal branch length analysis of the phylogenetic data. M tuberculosis clinical strains had diverse growth characteristics in host-like metabolic and drug conditions. These fitness phenotypes were highly heritable, and we identified monogenic and phylogenetically linked variants associated with the fitness phenotypes. These data enabled us to define two genetic features that were associated with clinical outcomes. First, mutations in Rv1339, a phosphodiesterase, which were associated with slow growth in glycerol, were further associated with treatment failure (OR 5·34, 95% CI 1·21-23·58, p=0·027). Second, we identified a phenotypically distinct slow-growing subclade of lineage 1 strains (L1.1.1.1) that was associated with cavitary disease (OR 2·49, 1·11-5·59, p=0·027) and treatment failure (OR 4·76, 1·53-14·78, p=0·0069), and which had shorter terminal branch lengths on the phylogenetic tree, suggesting increased transmission. Slow growth under various antibiotic and metabolic conditions served as in-vitro intermediate phenotypes underlying the association between M tuberculosis monogenic and phylogenetically linked mutations and outcomes such as cavitary disease, treatment failure, and transmission potential. These data suggest that Mtuberculosis growth regulation is an adaptive advantage for bacterial success in human populations, at least in some circumstances. These data further suggest markers for the underlying bacterial processes that contribute to these clinical outcomes. National Health and Medical Research Council/A∗STAR, National Institutes of Allergy and Infectious Diseases, National Institute of Child Health and Human Development, and the Wellcome Trust Fellowship in Public Health and Tropical Medicine.

Different Disciplines Have Different Perspectives, So What Are the Implications for the Multidisciplinary Field of Alcohol Public Health Science? A Reply to "All Boundaries Have Two Sides" by Bray and Kenkel (2024).

Different Disciplines Have Different Perspectives, So What Are the Implications for the Multidisciplinary Field of Alcohol Public Health Science? A Reply to "All Boundaries Have Two Sides" by Bray and Kenkel (2024).

PENGEMBANGAN MODUL PEMBELAJARAN SOSILOGI BERMEDIA VISUAL MAHASISWA STIKES HARAPAN IBU JAMBI

This study aims to develop a sociology of media visual learming modules that can facilitate learning students in sociology courses. The use of sociology of learning modules developed have special guality compared with not using a module, so as to facilitate student learning sociology courses. Researeh is the development of Dick and Carey model as for the procedures in the development of this research are as follows: analysis of the potential and problems, data collection, productdesign, product validation, 2 (two) experts are skilled instructional design and materials expert, and then implement the revised of the design has been validated, tested on a limited group, has revised the product, conduct field trials, and then revise the product back, and the final stage is a product of module development sociology. The results showed that the overall learning modules developed having good criterion with an average of 3.88 based upon the response and course student learning outcomes of public health sciences major goals in learning.The results can be concluded that the learning module that was developed a learning module using visual media for teaching sociology is easy to use as a learning module on the subject of sociology studies of public health sciences programmed STIKES Harapan Ibu Jambi. As for the suggestions from the results of data analysis in this development was before the development of learning modules mediated visual sociology, should show the problems that have public health science study programs so that the resulting product can be optimally used and for further development, preferably in added the material development of learning modules using visual media.

Prevalence and Association of Stress with Gestational Diabetes Mellitus among Pregnant Women in a Rural Area of Maharashtra: A Community-based Cross-sectional Study

Aim: Gestational diabetes mellitus (GDM) is a major public health problem. There is a scarcity of knowledge regarding the association of stress with GDM. Our objective was to determine the prevalence and association of stress with GDM among pregnant women in a rural area of Maharashtra. Methods: A community-based cross-sectional study was conducted among 965 pregnant women from the rural field practice area of the Department of Community Medicine, MGIMS, Sevagram. After taking written informed consent, a pretested semistructured questionnaire was administered. Diabetes in Pregnancy Study Group India recommendation was used (2-h plasma glucose > 140 mg/dL with 75 g oral glucose load to diagnose GDM irrespective of the duration of the last meal). Kessler Psychological Distress Scale (K10) was administered to assess the stress (anxiety and depression). Results: The K10 scale showed that 3.11% of participants were moderately affected, and 3.01% had mild symptoms of anxiety and depression. Only 1.14% of pregnant women had severe mental disorders. The participants with normal to mild depression (K10 score < 25) had 90% less chance (odds ratio: 0.10; 95% confidence interval: 0.05–0.23) of becoming GDM than participants with moderate to severe depression (K10 score > 25), which was statistically significant (P < 0.001). Conclusion: Our study highlighted that normal to mild stress had a lesser chance of getting GDM than moderate to severe stress during pregnancy, indicating that stress is a positive risk factor of GDM. Hence, it is advisable to screen for stress during pregnancy.

Relational Approach Towards Decolonizing Curriculum Development within the Colonial Postsecondary Institution

The Canadian academy is dominated by Western epistemologies that devalue Indigenous ways of knowing and marginalize Indigenous communities, cultures, and histories (Louie et al., 2017). This paper draws on a cross-disciplinary, interprofessional collaboration between a School of Public Health Sciences and School of Social Work to develop an online graduate course that sought to advance knowledge and practice in Indigenous wellbeing and health through a social justice lens. We explore key considerations, strategies, and challenges undertaken by an interdisciplinary group of non-Indigenous professors to create a learning experience for students that challenges colonial ways of seeing, being, knowing, and doing in the professional practice fields of public health and social work and that serves to elevate and sustain Indigenous voices, knowledges, sciences, and practices within the academy. In doing so, we centre the process of course development, including working with an Indigenous Advisory Circle and Indigenous contributors of content, guest lecture videos, and artwork. The paper describes the creation of a relational teaching and learning community, while raising concerns about the institutionalization of this approach to Indigenous-focused course development in the absence of the structural changes needed to enhance the presence of Indigenous faculty and Elders in academic institutions. 

Application of Multirepresentation-Based Creative Problem-Solving Learning Models to Improve Critical and Creative Thinking Skills for Students

The 21st-century competencies students need to have include creative thinking skills, critical thinking skills, literacy, and numeracy. These competencies can be developed in the learning process in class explicitly. This research aims to analyze the effectiveness of the Multirepresentation Based Creative Problem-Solving (MBCPS) learning model in improving students’ critical and creative thinking skills. The MBCPS Model Syntax consists of four stages: 1) problem identification, 2) finding ideas, 3) evaluating ideas with multiple representations (verbal, visual, and mathematical), and 4) validating solutions. The MBCPS model was applied to the experimental group and the Problem-Solving (PS) learning model in the comparison group on four study programs, natural science education. culinary education, public health science, and nutrition science with material on the science of nutrition. The difference between before and after learning was tested by Mann-Whitney, and N-gain tested the effectiveness. The results showed that before learning, there was no difference in critical and creative thinking skills, with a p-value > 0.05 between the experimental group and the comparison group. After learning, there was a very significant difference (p < 0.05). Learning the MBCPS model can improve critical thinking skills with an N-gain of 0.72 (high category) and creative thinking skills with an N-gain of 0.67 (medium category). The MBCPS learning model can be implemented on a broader scale according to the characteristics of complex course material to develop models in the field of education.

Application of Classroom Assessment Techniques in Medical Education: Results From the Community Medicine Teaching and Learning Experience

Application of Classroom Assessment Techniques in Medical Education: Results From the Community Medicine Teaching and Learning Experience

Specialties preference by gender among medical students at Sefako Makgatho Health Sciences University, South Africa.

To determine the speciality preferences and the gender differences in the choice of speciality among medical students at Sefako Makgatho Health Sciences University, South Africa. This cross-sectional study was conducted among fourth- to sixth-year medical students. A structured self-administered questionnaire was used to collect the data. Data analysis was performed using STATA version 16 (StataCorp, College Station, TX, United States). A total of 174 students participated (response rate of 74%). Their median age was 23 years with interquartile range of 2 years. More than half (57%) were females. About 83% had no previous qualifications. Most (89%) have shown interest in pursuing specialist training. Surgery, obstetrics and gynaecology and internal medicine were the most selected specialities, while family medicine, ophthalmology, forensic medicine, public health medicine, ear, nose and throat, and accident and emergency medicine were the least preferred. Males were more likely interested in surgery and internal medicine, while females preferred obstetrics and gynaecology. The majority of the medical students intends to pursue their postgraduate medical training. Even though the results were not statistically significant, there are gender differences in speciality preferences. There is a need to develop and implement career guidance and recruitment plans to deal with specialities with poor recruitment and gender imbalance.Contribution:To deal with specialties with poor and gender imbalance, career guidance and recruitment plans must be developed and implemented.

Interpretable Trend Analysis Neural Networks for Longitudinal Data Analysis

Cohort study is one of the most commonly used study methods in medical and public health researches, which result in longitudinal data. Conventional statistical models and machine learning methods are not capable of modeling the evolution trend of the variables in longitudinal data. In this article, we propose a Trend Analysis Neural Networks (TANN), which models the evolution trend of the variables by adaptive feature learning. TANN was tested on dataset of Kaiuan research. The task was to predict occurrence of cardiovascular events within 2 and 5 years, with three repeated medical examinations during 2008 and 2013. For 2-year prediction, The AUC of the TANN is 0.7378, which is a significant improvement than that of conventional methods, while that of TRNS, RNN, DNN, GBDT, RF, and LR are 0.7222, 0.7034, 0.7054, 0.7136, 0.7160, and 0.7024, respectively. For 5-year prediction, TANN also shows improvement. The experimental results show that the proposed TANN achieves better prediction performance on cardiovascular events prediction than conventional models. Furthermore, by analyzing the weights of TANN, we could find out important trends of the indicators, which are ignored by conventional machine learning models. The trend discovery mechanism interprets the model well. TANN is an appropriate balance between high performance and interpretability.

Organizing the Unorganized: A Long Road Home for India’s Road-Makers

A team from the Department of Community Medicine observed and photographed the dwelling of a road construction worker’s family residing in a temporary house near a construction site (1). This photographic panel sheds light on the plight of the unorganized sector of migrant workers in India. Working for the bare minimum wages with the uncertainty of stable employment, they suffer from various issues,

State-of-the-Art Low-Cost Air Quality Sensors, Assemblies, Calibration and Evaluation for Respiration-Associated Diseases: A Systematic Review

Indoor air quality and respiratory health have always been an area of prime interest across the globe. The significance of low-cost air quality sensing and indoor public health practices spiked during the pandemic when indoor air pollution became a threat to living beings, especially human beings. Problem Definition: Indoor respiration-associated diseases are hard to diagnose if they are due to indoor environmental conditions. A major challenge was observed in establishing a baseline between indoor air quality sensors and associated respiratory diseases. Methods: In this work, 10,000+ articles from top literature databases were reviewed using six bibliometric analysis methods (Lorenz Curve of Citations, Hirch’s H-Index, Kosmulski’s H2-Index, Harzing’s Hl-Norm-Index, Sidoropolous’s HC-Index, and Schrieber’s HM-index) to formulate indoor air quality sensor and disease correlation publication rubrics to critically review 482 articles. Results: A set of 152 articles was found based on systematic review parameters in six bibliometric indices for publications that used WHO, NIH, US EPA, CDC, and FDA-defined principles. Five major respiratory diseases were found to be causing major death toll (up to 32%) due to five key pollutants, measured by 30+ low-cost sensors and further optimized by seven calibration systems for seven practical parameters tailored to respiratory disease baselines evaluated through 10 cost parameters. Impact: This review was conducted to assist end-users, public health facilities, state agencies, researchers, scientists, and air quality protection agencies.

Harnessing the Power of Artificial Intelligence in Climate Change Mitigation: Opportunities and Challenges for Public Health

Artificial intelligence (AI) has emerged as a powerful tool for addressing the challenges posed by climate change and their impact on public health. By leveraging its capacity to analyze and predict climatic patterns, AI offers opportunities to enhance resource management and develop effective strategies for climate change mitigation. Moreover, AI can contribute to generating sustainable solutions that address the complex and interconnected nature of climate change. For example, AI can enable the optimization of energy consumption and facilitate the integration of renewable energy sources into existing systems. It can also support the development of climate models that provide timely and accurate predictions, enabling policymakers to implement proactive measures for disaster preparedness and response. Furthermore, AI-powered disease surveillance and mitigation techniques can improve public health outcomes by identifying patterns and trends in the spread of diseases in relation to climatic factors. However, the widespread adoption of AI-based solutions is not without challenges. Ethical concerns surrounding privacy and data ownership must be addressed, as the use of AI requires access to large datasets, raising potential privacy risks. Technical constraints, such as limited computational power and the need for sophisticated algorithms, also pose obstacles to the implementation of AI in climate change mitigation strategies. Furthermore, issues related to the accessibility and affordability of AI technologies must be resolved to ensure equitable distribution and maximize its potential impact on public health. To fully harness the power of AI in addressing climate change and improving public health outcomes, it is crucial to promote innovation, multidisciplinary collaboration, and open data science. Innovation can drive the development of new AI algorithms and technologies specifically tailored to address climate change challenges. Multidisciplinary approaches that bring together experts from diverse fields, including climate science, public health, and computer science, can foster a holistic understanding of complex systems and enable the design of comprehensive solutions. Finally, open data science practices, such as sharing data and algorithms, can facilitate collaboration and accelerate progress in mitigating climate change and its public health impacts. In conclusion, AI offers promising opportunities for effectively addressing climate change and its impact on public health. However, to fully realize its potential, it is essential to tackle ethical and privacy concerns, overcome technical constraints, and ensure accessibility and affordability. By promoting innovation, multidisciplinary collaboration, and open data science, we can unlock the transformative power of AI in mitigating climate change and improving public health outcomes.

Patient Experiences of Community Pharmacy Medication Supply and Medicines Reconciliation at Hospital Discharge: A Pilot Qualitative Study.

(1) Background: As part of the Scottish Government's five-year recovery plan to address the backlog in NHS care following the COVID-19 pandemic, community pharmacies in Scotland are planned to provide a Hospital Discharge Medicines Supply and Medicines Reconciliation Service. We aimed to qualitatively explore patients' experiences with this new service. (2) Method: Adult patients (≥18 years age) who consented to participate in the Community Pharmacy Hospital Discharge and Medicines Reconciliation Service were invited for an interview within 21 days of discharge from hospital. Qualitative, one-to-one, semi-structured patient interviews were conducted by telephone and audio-recorded using Microsoft Teams®. The interview audio recordings were transcribed verbatim and underwent thematic analysis. (3) Results: Twelve patients were interviewed, evenly split by sex and with a median age of 62 years (range 36 to 88 years). Our analysis generated main five themes: patient engagement, stakeholder communication, practical factors, human factors, and comparative experiences. Many of these were interdependent. (4) Conclusions: Patients appreciated that the service ensured a quicker discharge from hospital. Good stakeholder communication, practical factors (including choice, location, and the realities of obtaining their medication from the community pharmacy), and a pre-existing and trusted relationship in their usual community pharmacy were the key factors that regulated the patient experience. Generally, patients were positive about the introduction of this new service. However, the lack of a previous relationship or trust with a community pharmacy, and previous experiences with medication supply problems were factors which had the potential to negatively impact patient experiences.

Dual-Track Multifunctional Bimetallic Metal-Organic Frameworks for Antibiotic Enrichment and Detection.

The improper use and overuse of antibiotics have led to significant burdens and detrimental effects on the environment, food supply, and human health. Herein, a magnetic solid-phase extraction program and an optical immunosensor based on bimetallic Ce/Zr-UiO 66 for the detection of antibiotics are developed. A magnetic Fe3O4@SiO2@Ce/Zr-UiO 66 metal-organic framework (MOF) is prepared to extract and enrich chloramphenicol from fish, wastewater, and urine samples, and a horseradish peroxidase (HRP)-Ce/Zr-UiO 66@bovine serum protein-chloramphenicol probe is used for the sensitive detection of chloramphenicol based on the dual-effect catalysis of Ce and HRP. In this manner, the application of Ce/Zr-UiO 66 in integrating sample pretreatment and antibiotic detection is systematically investigated and the associated mechanisms are explored. It is concluded that Ce/Zr-UiO 66 is a versatile dual-track material exhibiting high enrichment efficiency (6.37mg g-1) and high sensitivity (limit of detection of 51.3 pg mL-1) for chloramphenicol detection and serving as a multifunctional MOF for safeguarding public health and hygiene.

Students’ Experiences with Interprofessional Service-Learning Global Health Education Pilot Program in Ghana

Interprofessional service-learning programs can help to break down the education and training silos between public health and health care in the United States. This paper describes the development and implementation of one such program between the University of Massachusetts, Amherst, School of Public Health and Health Sciences, Bay Path University Physician Assistant Program, and the Wa-West Health District in Ghana. The program brought together Master of Public Health students and Physician Assistant students to complete an applied practicum and training experience in a low-resource community that faces significant health care and public health delivery challenges. In 2017 and 2018, nine students participated in the two-year pilot program, UMass Amherst Interprofessional Integrated Service Learning and Community-Based Participatory Collaboration. Students completed projects designed by Ghanaian health officials over two summers in direct collaboration with the communities. Findings from the evaluation of the pilot program revealed that though the students faced some challenges with the program, such as language barriers, transportation issues due to poor roads, and difficulty scheduling meetings while completing their projects in Ghana, the majority described their experience as positive and were satisfied. Some expressed the idea that their experiences were something that they could incorporate into their current and future practices. In addition, they reported that interprofessional communications and collaborations were effective. Recommendations are offered to address the program’s challenges for its continuation and formalization.

Causal associations of particulate matter 2.5 and cardiovascular disease: A two-sample mendelian randomization study.

According to epidemiological studies, particulate matter 2.5 (PM2.5) is a significant contributor to cardiovascular disease (CVD). However, making causal inferences is difficult due to the methodological constraints of observational studies. In this study, we used two-sample Mendelian randomization (MR) to examine the causal relationship between PM 2.5 and the risk of CVD. Genome-wide association study (GWAS) statistics for PM2.5 and CVD were collected from the FinnGen and UK Biobanks. Mendelian randomization analyses were applied to explore the causal effects of PM2.5 on CVD by selecting single-nucleotide polymorphisms(SNP) as instrumental variables. The results revealed that a causal effect was observed between PM2.5 and coronary artery disease(IVW: OR 2.06, 95% CI 1.35, 3.14), and hypertension(IVW: OR 1.07, 95% CI 1.03, 1.12). On the contrary, no causal effect was observed between PM2.5 and myocardial infarction(IVW: OR 0.73, 95% CI 0.44, 1.22), heart failure(IVW: OR 1.54, 95% CI 0.96, 2.47), atrial fibrillation(IVW: OR 1.03, 95% CI 0.71, 1.48), and ischemic stroke (IS)(IVW: OR 0.98, 95% CI 0.54, 1.77). We discovered that there is a causal link between PM2.5 and coronary artery disease and hypertension in the European population, using MR methods. Our discovery may have the significance of public hygiene to improve the understanding of air quality and CVD risk.