World Population Research Articles

The Progressive Integration of AI Software in the Histopathological Diagnosis of Oral Cancers

<p dir="ltr"><span>As in any other field, medicine is advancing and striving to adapt to increasingly complex demands, aiming to find rapid solutions in establishing certain diagnoses that can save or significantly improve the patient's quality of life. The integration of AI systems in the medical field is vital and requires openness, as well as a continuous desire for learning and improvement. Although the use of artificial intelligence in the medical field in Romania has not yet reached widespread development, there are still some AI software and applications that prove their effectiveness and ease the work of medical specialists. Oral cancer is one of the most common forms of malignant or premalignant lesions globally, with a high prevalence. Although developed countries are less affected compared to developing ones, they are also seeing an increasing incidence of cancers in the oro-maxillofacial region. The etiology of oral cancer is complex, influenced by both genetic and epigenetic factors. Currently, research is increasingly focused on epigenetic factors, including smoking, chronic alcoholism, diet, and improper use of mouthwash. These behaviours are associated with significant risks for the development of oral cancer, highlighting the importance of awareness and prevention within the global population. In Romania, factors such as low dental visit frequency, poor infrastructure, and lack of education contribute to disease prevalence. According to GLOBOCAN data, oral cancer in Romania ranks second in incidence, after leukemia, with a rate of 5.6 per 100,000 individuals. The purpose of our study is to highlight the importance of histopathological examination in establishing a definitive diagnosis, as well as the significance of AI software used in storing and processing the data obtained in the laboratory.</span></p><div><span><br /></span></div>

Mitigation of salinity stress in salt-sensitive rice seedlings via phytohormone synthesis, antioxidant defence enhancement, and ion balance regulation induced by 5-aminolevulinic acid-producing purple non-sulfur bacteria.

Salt stress, intensified by climate change, is a significant threat to rice production, a vital staple for over half the world's population. This makes addressing salt stress in rice cultivation a pressing issue. This study investigates the role of PNSB as a biostimulant in enhancing salinity tolerance of salt-sensitive rice seedlings, addressing existing gaps in knowledge on physiological and biochemical impacts under saline stress. We inoculated salt-sensitive rice seedlings with PNSB under 80 mmol NaCl stress in a controlled environment. After a 5-day treatment, we conducted biochemical and physiological analyses. Salinity stress induced oxidative stress in salt-sensitive rice seedlings. However, application of 5-ALA-producing PNSB mitigated stress, elevated 5-ALA in shoots by 23%, roots by 190.5%, and chlorophyll content by 105.0%. PNSB treatment also reduced superoxide radicals (O2 •-) and H2O2 by 26.7% and 38.7%, respectively, related to increased activity of the antioxidant enzymes, SOD (142.9%) and APX (41.8%). This led to lower electrolyte leakage (25.2%) and MDA (17.4%), indicating reduced ROS. Additionally, proline and soluble sugar content decreased by 29.2% and 72.5%, respectively. PNSB treatment also reduced sodium to potassium ion content in both shoots (31.2%) and roots (27.4%) of salt-stressed rice seedlings. These findings suggest that PNSB may facilitate nutrient solubilization and ion balance, thereby mitigating the adverse effects of salinity, with potential implications for sustainable agricultural practices to improve crop yield in saline environments. Future research should focus on elucidating the specific biochemical pathways involved in PNSB-mediated stress tolerance and exploring their application across diverse crop species and varying stress conditions.

Rethinking neglected tropical diseases: A shift towards more inclusive and equitable terminology.

Neglected tropical diseases (NTD) refer to a group of 21 diseases that disproportionally affect impoverished communities in low- and middle-income countries (LMIC) [1]. NTD collectively impact 1.7 billion people, which is about 20% of the world's population [1]. Each year, NTD account for more than 200,000 deaths, with millions left disabled and disfigured due to insufficient access to care and affordable treatment, often leading to social exclusion, stigmatization and discrimination. Although the term NTD has successfully directed funding and resources towards these conditions and encouraged global partnerships and high-level policy initiatives, the term may also have unintended negative consequences. In this paper, we aim to explore the term NTD and stimulate a dialogue that re-evaluates its meaning into more inclusive and equitable language.

Numerical Modeling of Seawater Intrusion: Implication for Sustainable Coastal Aquifer Management

Aim: To examine the numerical modeling of seawater intrusion and show its implication for sustainable coastal acquifer management. Problem Statement: The global rise in the world population has necessitated the essentiality of water which also has linkage with power and agriculture. However, arid and semi-arid regions occupy almost one-third of the global land surface which makes many regions to be under harsh and rising water stress. The intrusion of seawater into some sections of aquifers has been one of the major problems contributing to water scarcity, especially during the dry season. Significance of Study: A numerical model is a reasonably accurate and economical tool to simulate and predict the head and quality of groundwater in coastal aquifers if it is properly calibrated using the available measurements of heads, pumping rates, and boundary conditions. The calibrated geo-hydrological parameters can then be used to validate the model for another set of measured data. Thus, it is imperative to predict seawater intrusion into coastal aquifer using numerical modeling tools for water management and sustainability purpose. Methodology: This review article was compiled using references from previous literatures addressing seawater intrusion into coastal aquifer. Cited cases were referenced from different relevant journals. Discussion: This article has presented the fundamental principles and mechanisms of seawater intrusion into coastal aquifer. It was observed that seawater intrusion may arise as a result of moderately lower groundwater withdrawal in dry seasons during which the intrusion of seawater is considerably much when compared with the rainy season. The major influencing factors are temperature, rainfall, abstraction rate and evaporation. However, abstraction rate is the most vital variable in relation to rise in population because the saline water migrates more inland due to water over-extraction from the subsurface without adequate replenishment in either semi-arid or arid regions. Different applicable mathematical models for seawater intrusion into coastal aquifer stated in this review are visual MODFLOW, MT3DMS routines, SEAWAT-2000 routines and FEFLOW routines. The applications of these models in the numerical modeling of coastal aquifers in some countries are stated and with their respective influence on the objectives of the study and the results obtained. Conclusion: In conclusion, the use of numerical modeling in studying the nature of seawater intrusion is imperative to achieve sustainable coastal aquifer management.

Influence of nutrition and epigenetics on the development of neurodegenerative diseases in elderly and old people

Due to the growing number of elderly and senile people in the world population, there is an increase in the prevalence of neurodegenerative diseases. Alzheimer’s, Parkinson’s, multiple sclerosis, amyotrophic lateral sclerosis are the most common nosologies in this group, which are based on neuronal damage and subsequent death of the corresponding parts of the brain and spinal cord. These patients are characterized by a growing deficit in daily activities, a decrease in the productivity of cognitive functions, followed by the need for constant and long-term care, which is associated with huge economic and social costs to society. At the same time, there are no effective programs for the prevention and treatment of these diseases. In the review of the literature, the authors analyzed the works devoted to neurodegenerative diseases, the role of nutrition, epigenetics as factors in the prevention and slowing down the progression of neurodegeneration processes.

Evaluating Anti-Diabetic Effect of Courmarin Derivative Aesculetin in Rats with Diet-Induced Obesity.

Obesity, modifiable and an avertable medical condition, has become a global threat due to rapid modernization and industrialization. Swift growth in modernization not only eases the day-to-day life, it also mandates sedentary lifestyle, which leads to various noncommunicable diseases. At present one in eight people in global population are obese, and these booming obese individuals are prone to various other micro- and macrovascular diseases such hyperglycemia, myocardial infraction, hypertension, stroke, and so forth. Ample research had unveiled an intricate association perceived between obesity and Type 2 diabetes mellitus pathogenesis. Although the intake of anti-obesity drugs along with anti-diabetic drugs had effectively regulated the hyperglycemic conditions in diabetic patients, it causes various side effects on long-term usage. Coumarins are phytochemicals that have demonstrated pharmacological properties including anti-inflammatory, antioxidant, anti-tumor, and so forth. In this analysis, we assessed anti-obesity and anti-diabetic potency of aesculetin, a courmarin derivative. The rats were induced obesity with high-fat diet and subjected to streptozotocin infusion to induce hyperglycemia. Obese diabetic induced rats were treated with aesculetin and assessed for its anti-diabetic effect. BMI were assessed in the rats to analyze the anti-obesity effect of aesculetin. Diabetic profile test and lipid profile test were performed to evaluate the anti-diabetic effect of aesculetin. Ameliorative effect of aesculetin in obese rats during hyperglycemic conditions was assessed with renal profile test, hepatic function biomarkers, and by histopathological analysis of cardiac tissue. The anti-inflammatory and antioxidant property were also assessed to determine the mechanism of action of aesculetin. To confirm the anti-obesity potency of aesculetin, adipokines levels were estimated. Aesculetin eminently decreased the BMI, HbA1c, cholesterol levels, and intensified secretion of insulin in obese diabetic rats. It also regulated the renal, hepatic functional markers and prevented cardiac tissue injury in obese diabetic rats. It regulated the adipokines, increased antioxidants, and decreased level of proinflammatory cytokines, thereby prevented obesity-induced hyperglycemic effects in rats. To conclude, our findings had confirmed the supplementary intake of aesculetin prevents obesity-induced hyperglycemic disorder in rats.

Lipid peroxidation and sarcopenia: molecular mechanisms and potential therapeutic approaches

Sarcopenia is an age-related condition characterized by the progressive loss of skeletal muscle mass and strength. With the global aging population, its incidence is rapidly increasing. Lipid peroxidation is a critical biochemical process that generates reactive oxygen species (ROS), leading to the destruction of muscle cell structure and function. It plays a pivotal role in the onset and progression of sarcopenia. This review summarizes the mechanisms by which lipid peroxidation contributes to sarcopenia, with a focus on its regulatory effects on cell membrane damage, mitochondrial dysfunction, and cell death. In addition, we discuss the protective role of antioxidant factors such as GPX4 (glutathione peroxidase 4) and antioxidant peptides like SS peptides in mitigating lipid peroxidation and delaying the progression of sarcopenia. Finally, the potential of various strategies, including natural compounds, supplements, natural extracts, and lifestyle interventions, in inhibiting lipid peroxidation and promoting muscle health is explored.

A matching method for elderly care service personnel with multiple types of service expectations.

With the rapid growth of the global aging population, the problem of providing for the elderly has become increasingly prominent. As a new model of providing for the elderly in China, home-based care has attracted more and more attention from all walks of life. The research on how to realize reasonable and effective matching between elderly care service personnel and the elderly under the home care model deserves attention and has important practical significance. In this paper, a matching method for elderly care service personnel considering multi-type service expectations is proposed. This approach involves first obtaining the actual values of the expectation indexes for each other, as well as the expectation requirements of the elderly and the service personnel. Next, we compute the satisfaction of the elderly and the service personnel for each other based on the elastic service expectation type, and finally, we make a decision about whom to choose based on the inelastic service expectation indexes. On this basis, the situation is considered that there are sufficient and insufficient elderly care service personnel, the two-sided matching models are constructed, respectively, and the optimal matching results are obtained by solving the models. Finally, an example is given to illustrate the feasibility and effectiveness of the proposed method.

Corydalis Tuber Extract Alleviates Atopic Dermatitis: Transcriptomics-Based Mechanism Prediction and In Vitro/In Vivo Studies

Atopic dermatitis (AD) is a common inflammatory skin disease characterized by recurrent eczema and chronic itching, affecting a significant portion of the global population. This study investigated the effects of Corydalis Tuber 70% ethanol extract (CTE) on tumor necrosis factor-α- and interferon-γ (TI)-stimulated human keratinocytes (HaCaT) and a house dust mite-induced AD mouse model, elucidating its mechanism via transcriptome analysis. A total of 13 compounds, including columbamine, corydaline, dehydrocorydaline, and glaucine, were identified in CTE using ultra performance liquid chromatography-tandem mass spectrometry. CTE downregulated pathways related to cytokine signaling and chemokine receptors in TI-stimulated HaCaT cells. It significantly inhibited C-C motif chemokine ligand (CCL)5, CCL17, and CCL22 levels by blocking the Janus kinase-signal transducers and activators of transcription and nuclear factor kappa-light-chain-enhancer of activated B cells pathways. In the AD mouse model, topical CTE significantly decreased dermatitis scores, epidermal thickening, and inflammatory cell infiltration. Plasma levels of histamine, immunoglobulin E, CCL17, CCL22, corticosterone, and cortisol were reduced. Lesions showed decreased thymic stromal lymphopoietin, CD4+ T cells, interleukin-4, and intercellular adhesion molecule-1 expression. The findings demonstrate that CTE alleviates AD by modulating inflammatory mediators, cytokines, and chemokines, reducing inflammatory cell infiltration, and alleviating stress-related factors.

A New Approach to Haemodialysis: Nurse-Led Dual Intervention Eases AV-Fistula Puncture Pain and Discomfort

ABSTRACT Background: Chronic kidney disease (CKD) affects approximately 10% of the global population and often progresses to end-stage renal disease, necessitating hemodialysis. Arteriovenous (AV) fistula puncture is a routine yet painful procedure, highlighting the need for effective pain management strategies. Objective: This study aimed to evaluate the effectiveness of a Nurse-Led Dual Intervention, combining cryotherapy and virtual reality, in reducing pain and discomfort during AV fistula puncture among hemodialysis patients. Methods: A randomized controlled trial was conducted with 60 hemodialysis patients assigned to either an experimental or control group. Pain and discomfort were assessed using McGill’s Pain Rating Scale and Borg’s Perceived Discomfort Rating Scale. The intervention involved the simultaneous application of cryotherapy and virtual reality distraction during AV fistula puncture, while the control group received standard care. Results: Post-intervention analysis demonstrated a 43.62% reduction in symptom scores in the experimental group compared to a 2.80% reduction in the control group. Significant decreases in pain intensity and discomfort scores were observed in the experimental group. Additionally, statistical analysis revealed meaningful associations between socio-demographic variables and pain management outcomes. Conclusion: The findings suggest that integrating non-pharmacological interventions, such as cryotherapy and virtual reality, can significantly improve patient comfort and quality of life during hemodialysis. Future research should explore the broader clinical applications of this dual intervention for pain management in various healthcare settings..

A suite of metrics in overall dyslexia assessment: drift entropy impact.

Contemporary neuroscience scientists are interested in dyslexia, a complicated brain neurodevelopmental disorder. This condition causes slow and imprecise word comprehension in 5%-17% of the global population across languages and cultures. People with dyslexia often discuss mental health. On the scalp, the EEG signal shows coordinated neural activity that synchronizes. The EEG signal accurately captures these cerebral activity fluctuations due to evolution and mental state. Using statistical approaches, this study will determine if EEG waves indicate sickness. For this, three measures are suggested. The first metric, power spectral density, shows signal frequency and power distribution. The second metric assesses the model's uncertainty or randomness, conveying signal information, using entropy. The third metric, the Kolmogorov-Smirnov Test, uses entropy-based measurements to identify distributions based on Kolmogorov complexity. Applying these measures to the overall EEG signal of the twenty students under study separated the seven students' information from the other thirteen.

Beyond the classroom: The transformative experience of short rural immersion programs for health professional students: A narrative review.

Rural areas house nearly half the global population yet face a significant shortage of skilled health professionals, exacerbating health inequities. Short-term rural immersion programs offer a cost-effective approach to exposing health professional students to the unique challenges of rural healthcare. Transformative learning theory is well suited to examining how these programs foster critical reflection and perspective shifts in students. To explore the potentially transformative impact of short-term (<6 weeks) rural immersion programs on health professional students through the lens of transformative learning theory. This review synthesised findings from various studies on the impact of rural immersion programs. Comprehensive searches were conducted across multiple databases, identifying 17 studies published between 2001 and 2024. Data extraction and thematic synthesis were guided by Mezirow's transformative learning framework, identifying key patterns and insights through an iterative process. Rural immersion programs deepen students' understanding of the unique health needs of rural and remote communities. These experiences promote personal and professional growth, enhance critical thinking, problem-solving abilities, cultural competence and social accountability and foster a commitment to serving underserved populations. The collaborative role of the community, student cohort and academic staff in facilitating transformative learning is emphasised. Short-term rural immersion programs offer invaluable and transformative educational opportunities that extend beyond traditional learning environments.

Unlocking the potential of l-α-glycerylphosphorylcholine in the food industry: From safety approvals to market prospects.

With the exacerbation of global population aging, age-related neurodegenerative disorders have been posing an increasing public health concern. l-α-Glycerylphosphorylcholine (l-α-GPC) has demonstrated significant therapeutic potential for mental health-related disorders and possesses promising market prospects. Recently, l-α-GPC has been successively approved as a new food resource in Canada (2023) and in China (2024). These policies pointed out the recognized safety and utility of l-α-GPC. The utilization of l-α-GPC in dietary supplements and health foods could be a convenient option for early intervention strategies to potentially delay or mitigate the progression of neurodegenerative disorders. Additionally, other unique nutritional benefits of l-α-GPC have been highlighted, further expanding its application in food industry. Encouraged by the policy incentives, there is likely to be a new upsurge in the research interest surrounding l-α-GPC. To fully capitalize on these emerging opportunities, we present a comprehensive review of l-α-GPC. The chemical properties, pharmacological characteristics, safety assessments, and preparation methods of l-α-GPC were summarized. A brief outlook on the future perspectives and unsolved challenges was also proposed.

Age-Related Macular Degeneration Pathophysiology and Therapeutic Potential of Tocotrienols: An Update.

Age-related macular degeneration (AMD) poses a significant threat to visual health among the elderly, necessitating urgent preventive measures as the global population ages. Extensive research has implicated oxidative stress (OS)-induced retinal damage as a primary contributor to AMD pathogenesis, prompting investigations into potential therapeutic interventions. Among the various nutrients studied for their potential in AMD risk reduction, antioxidants have shown promise, with initial findings from the Age-Related Eye Disease Study suggesting a correlation between antioxidant supplementation and decreased AMD progression. This article explores the scientific foundation supporting the therapeutic efficacy of tocotrienol-rich fraction (TRF) as a viable candidate for slowing AMD progression, based on interventional studies. AMD is characterized by OS, inflammation, dysregulated lipid metabolism, and angiogenesis, all of which TRF purportedly addresses through its potent anti-inflammatory, lipid-lowering, antiangiogenic, and antioxidant properties. The review underscores TRF's promising attributes, aiming to deepen understanding of AMD pathogenesis and advocate for TRF-based pharmacological interventions to enhance therapeutic outcomes. Given the pressing need for effective AMD treatments, TRF represents a promising avenue for intervention, offering hope for improved vision outcomes and enhanced quality of life for individuals affected by this debilitating condition.

Rational Redomestication for Future Agriculture.

Modern agricultural practices rely on high-input, intensive cultivation of a few crop varieties with limited diversity, increasing the vulnerability of our agricultural systems to biotic and abiotic stresses and the effects of climate changes. This necessitates a paradigm shift toward a more sustainable agricultural model to ensure a stable and dependable food supply for the burgeoning global population. Leveraging knowledge from crop biology, genetics, and genomics, alongside state-of-the-art biotechnologies, rational redomestication has emerged as a targeted and knowledge-driven approach to crop innovation. This strategy aims to broaden the range of species available for agriculture, restore lost genetic diversity, and further improve existing domesticated crops. We summarize how diverse plants can be exploited in rational redomestication endeavors, including wild species, underutilized plants, and domesticated crops. Equipped with rational redomestication approaches, we propose different strategies to empower the fast and slow breeding systems distinguished by plant reproduction systems.

The Link Between Gut Microbiota and Depression: Exploring the Correlation

Introduction: Depression represents a significant global health challenge, affecting approximately 4.4% of the global population and ranking as the leading cause of disability worldwide. Despite advancements in pharmacotherapy and psychotherapeutic interventions, a substantial proportion of individuals with depression experience treatment resistance, recurrence of symptoms, or inadequate response to standard treatments. Aim of the Study: This review explores the emerging role of the gut microbiome in depression, focusing on its potential as a therapeutic target. Materials and Methods: A comprehensive literature search was conducted using electronic databases including PubMed/MEDLINE and Google Scholar. The search encompassed articles utilizing keywords and Medical Subject Headings (MeSH) terms related to “gut microbiome,” “depression,” “microbiota-gut-brain axis,” “psychiatric disorders,” and “clinical studies.” Conclusion: Therapeutic strategies targeting the gut microbiota offer promising avenues for alleviating depressive symptoms and enhancing treatment outcomes. Probiotics, prebiotics, dietary modifications, and fecal microbiota transplantation (FMT) represent diverse interventions aimed at restoring microbial balance, modulating gut-brain communication, and reducing neuroinflammation associated with depression. Further research is needed to optimize therapeutic approaches, explore personalized medicine strategies based on individual microbiome profiles and clarify the safety and efficacy of microbial-based therapies in clinical settings.

Advancements in genome editing tools for genetic studies and crop improvement

The rapid increase in global population poses a significant challenge to food security, compounded by the adverse effects of climate change, which limit crop productivity through both biotic and abiotic stressors. Despite decades of progress in plant breeding and genetic engineering, the development of new crop varieties with desirable agronomic traits remains a time-consuming process. Traditional breeding methods often fall short of addressing the urgent need for improved crop varieties. Genome editing technologies, which enable precise modifications at specific genomic loci, have emerged as powerful tools for enhancing crop traits. These technologies, including RNA interference, Meganucleases, ZFNs, TALENs, and CRISPR/Cas systems, allow for the targeted insertion, deletion, or alteration of DNA fragments, facilitating improvements in traits such as herbicide and insect resistance, nutritional quality, and stress tolerance. Among these, CRISPR/Cas9 stands out for its simplicity, efficiency, and ability to reduce off-target effects, making it a valuable tool in both agricultural biotechnology and plant functional genomics. This review examines the functional mechanisms and applications of various genome editing technologies for crop improvement, highlighting their advantages and limitations. It also explores the ethical considerations associated with genome editing in agriculture and discusses the potential of these technologies to contribute to sustainable food production in the face of growing global challenges.

The Self-Reported Human Health Impacts of Disaster on People in India: A Cross-Sectional Analysis of the Longitudinal Aging Study India.

The human health impacts of disaster are predicted to increase in frequency and severity due to the effects of climate change. This has impacts on all nations, but understanding disaster-related health impacts in highly populous nations, such as India, will help to inform risk preparedness and reduction measures for large proportions of the global population. Disaster-related human health impacts in India were examined via the use of survey data to inform risk reduction. A cross-sectional analysis of Wave 1 (2017-2018) data from the Longitudinal Aging Study India (LASI) was conducted to explore the impact of both natural and human-induced disasters on the self-reported health of people 45 years and above, as well as their partners (irrespective of age). Descriptive statistics, chi square tests of association, odds ratio, and logistic regression were used to analyze the data by socio-demographics, geographic location, and health concern type. Out of a total 72,250 respondents, 2,301 (3.5%) reported disaster-related health impacts, of which 90.1% were significant. Rural residents and those with no education were more likely to be affected. Droughts were most commonly responsible for affecting human health (41.7%), followed by floods (24.0%). Two-thirds of the sample reported psychological trauma and one-in-five experienced chronic illness. The LASI study presents an important first understanding of the self-reported human health impacts of disasters, both natural and human-induced in India. Findings indicate social determinants such as education level and rurality impact risk of disaster-related health impacts, while mental health concerns represent the biggest disaster-related health concern. Future waves of LASI should be examined to determine if human health impacts are increasing due to the effects of climate change, as well as the vulnerability of an aging cohort.

Chiral Natural Products With anti‐Plasmodium Activity Identified From the East African Flora from 2000 to 2023

For more than half a century, significant strides have been taken to reduce the incidence of malaria, but nearly half of the world's population is still at risk of malaria infection. Development of parasite resistance to antimalarial drugs remains a medical challenge that requires identification and development of novel druglike anti‐plasmodial leads that are active against drug resistant parasites. The benefits of chiral natural product (NPs) as anti‐Plasmodium drugs can be traced back to Quinine. To date, the importance of stereogenic center in drug discovery continues to influence clinical pharmacology of various clinical candidates. This review retrospectively examines chiral natural product anti‐Plasmodium agents from the East African flora published between year 2000 and 2023. The intention is to identify promising leads that could be ideal starting points for development of the next generation of antimalarial drugs.

Green Supply Chain Management Practices and The Performance of Alcoholic Beverages Companies in Kenya.

Today’s business environment is characterized by increasing uncertainties. GSCM has emerged as an important new approach for enterprises to achieve profit and market share objectives by reducing environmental risk and impact. Now, more than ever, the world population is aware of the negative effects caused by environmental degradation. Key environmental concerns are dumping of hazardous wastes, the depletion of the ozone layer, and global warming. The primary goal of this study was to determine the influence of green supply chain practices on the performance of alcoholic beverages companies in Kenya. This research was based on the following objectives: green sourcing, eco-design, reverse logistics and waste stream management on the performance of alcoholic beverages companies in Kenya. The Resource-based view theory, theory of planned behavior, contingency management theory, waste management theory and supply chain operations reference model were studied and used as its theoretical foundations. The study employed a cross-sectional survey approach and mainly concentrated on the top five performing alcoholic beverages companies in Kenya namely East Africa Breweries Limited, Keroche Breweries, Kenya Wine Agencies, UDV Kenya Limited and London distillers limited. In order to meet the research objectives, the respondents were chosen at random from the highest level of management, the middle level of management, and the operational level of management. The head of department, head of subsection, and two clerks/assistants in each of these departments: production, procurement, logistics, and warehousing were employed as a unit of analysis across the five firms.The primary data were collected through a self-administered questionnaire that had both open and closed ended questions, designed to obtain definite responses. Statistical Package for the Social Sciences (SPSS version 28) was used to analyze the data and present the variables through coding and summarizing the responses of all the respondents and the analyzed data was presented in form of tables. The study findings showed that green supply chain management practices namely green sourcing, eco-design, reverse logistics and waste stream management significantly influence the performance of alcoholic beverage companies in Kenya. The study concluded that performance was predicted to improve for every unit increase in these practices. The study further recommends that alcoholic beverage firms should prioritize suppliers that provide sustainable, and biodegradable materials. Some recommendations include through supplier evaluation and selection, collaboration and communication, transparency, consistency, and traceability. This will ensure improved green supply chain management and improve performance of alcoholic beverage companies.