Effective Prevention Research Articles

Prevalence of Adverse Childhood Experiences in Child Population Samples: A Systematic Review and Meta-Analysis.

Exposure to adverse childhood experiences (ACEs) before the age of 18 years is a major contributor to the global burden of disease and disability. To meta-analyze data from samples with children 18 years or younger to estimate the average prevalence of ACEs, identify characteristics and contexts associated with higher or lower ACE exposure, and explore methodological factors that might influence these prevalence estimates. Studies that were published between January 1, 1998 and February 19, 2024, were sourced from MEDLINE, PsycINFO, CINHAL, and Embase. Inclusion criteria required studies to report the prevalence of 0, 1, 2, 3, or 4 or more ACEs using an 8- or 10-item ACEs questionnaire (plus or minus 2 items), include population samples of children 18 years or younger, and be published in English. Data from 65 studies, representing 490 423 children from 18 countries, were extracted and synthesized using a multicategory prevalence meta-analysis. These data were analyzed from February 20, 2024, through May 17, 2024. ACEs. The mean age of children across studies was 11.9 (SD, 4.3) years, the age range across samples was 0 to 18 years, and 50.5% were female. The estimated mean prevalences were 42.3% for 0 ACEs (95% CI, 25.3%-52.7%), 22.0% for 1 ACE (95% CI, 9.9%-32.7%), 12.7% for 2 ACEs (95% CI, 3.8%-22.3%), 8.1% for 3 ACEs (95% CI, 1.4%-16.8%), and 14.8% for 4 or more ACEs (95% CI, 5.1%-24.8%). The prevalence of 4 or more ACEs was higher among adolescents vs children (prevalence ratio, 1.16; 95% CI, 1.04-1.30), children in residential care (1.26; 95% CI, 1.10-1.43), with a history of juvenile offending (95% CI, 1.29; 1.24-1.34), and in Indigenous peoples (1.63; 95% CI, 1.28-2.08), as well as in studies where file review was the primary assessment method (1.29; 95% CI, 1.23-1.34). The prevalence of 0 ACEs was lower in questionnaire-based studies where children vs parents were informants (0.85; 95% CI, 0.80-0.90). In this study, ACEs were prevalent among children with notable disparities across participant demographic characteristics and contexts. As principal antecedent threats to child and adolescent well-being that can affect later life prospects, ACEs represent a pressing global social issue. Effective early identification and prevention strategies, including targeted codesigned community interventions, can reduce the prevalence of ACEs and mitigate their severe effects, thereby minimizing the harmful health consequences of childhood adversity in future generations.

Enhancing type 2 diabetes mellitus prediction by integrating metabolomics and tree-based boosting approaches

BackgroundType 2 diabetes mellitus (T2DM) is a global health problem characterized by insulin resistance and hyperglycemia. Early detection and accurate prediction of T2DM is crucial for effective management and prevention. This study explores the integration of machine learning (ML) and explainable artificial intelligence (XAI) approaches based on metabolomics panel data to identify biomarkers and develop predictive models for T2DM.MethodsMetabolomics data from T2DM (n = 31) and healthy controls (n = 34) were analyzed for biomarker discovery (mostly amino acids, fatty acids, and purines) and T2DM prediction. Feature selection was performed using the least absolute shrinkage and selection operator (LASSO) regression to enhance the model’s accuracy and interpretability. Advanced three tree-based ML algorithms (KTBoost: Kernel-Tree Boosting; XGBoost: eXtreme Gradient Boosting; NGBoost: Natural Gradient Boosting) were employed to predict T2DM using these biomarkers. The SHapley Additive exPlanations (SHAP) method was used to explain the effects of metabolomics biomarkers on the prediction of the model.ResultsThe study identified multiple metabolites associated with T2DM, where LASSO feature selection highlighted important biomarkers. KTBoost [Accuracy: 0.938; CI: (0.880-0.997), Sensitivity: 0.971; CI: (0.847-0.999), Area under the Curve (AUC): 0.965; CI: (0.937-0.994)] demonstrated its effectiveness in using complex metabolomics data for T2DM prediction and achieved better performance than other models. According to KTBoost’s SHAP, high levels of phenylactate (pla) and taurine metabolites, as well as low concentrations of cysteine, laspartate, and lcysteate, are strongly associated with the presence of T2DM.ConclusionThe integration of metabolomics profiling and XAI offers a promising approach to predicting T2DM. The use of tree-based algorithms, in particular KTBoost, provides a robust framework for analyzing complex datasets and improves the prediction accuracy of T2DM onset. Future research should focus on validating these biomarkers and models in larger, more diverse populations to solidify their clinical utility.

Ribes khorasanicum: A Potent Antioxidant Against Organ Toxicity by Effect on the NF‐κB Pathway

ABSTRACTAcetaminophen (APAP) is a well‐known drug that, in high doses, induces hepatotoxicity and nephrotoxicity. This study has investigated the preventive effect of the extract and fractions of Ribes khorasanicum on APAP‐induced liver and kidney damage. In this experiment, after analysis of the extract using FTIR, toxicity was induced by APAP on the 7th day. Before that, the extract and their aqueous, ethyl acetate, and n‐hexane fractions were administrated orally. 24 h after APAP administration, the animals were sacrificed. The liver and kidney were removed for the evaluation of oxidation and biochemical markers, including SGOT, SGPT, ALP, LDH, albumin, urea, creatinine, and bilirubin and also for histopathological evaluations. The safety of the extract was evaluated based on the MTT. Also, expression of the NF‐kB is done. Administration of Ribes khorasanicum significantly decreased the biochemical parameters compared to the APAP. Oxidative parameters, as well as histopathological changes in preventive groups, were improved compared to the APAP in both tissues. The results showed that the aqueous and ethyl acetate fractions of the extract had a better effect than the whole extract and n‐hexane fraction against APAP toxicity.

Preventive Effects of Polyprenols from the Needles of Aabies sibirica under the Influence of Adverse Factors

Currently, biologically active substances of natural origin are widely used as preventative agents. The search and development of new drugs for the prevention and correction of nonspecific disorders of the body’s resistance to adverse effects in environment continues. A preclinic assessment of the effectiveness of polyprenols from Siberian fir Abies sibirica was carried out when used prophylactically for two weeks. It has been shown that the effect of polyprenols is manifested by antioxidant, anabolic activity and stimulation of hematopoiesis in an experimental model of combined poisoning with carbendazim and X-ray irradiation.

Inhibition of selective factor Xa suppresses type 1 diabetes development in mice via the CXCL16 chemokine

Type 1 diabetes mellitus (T1DM) is associated with enhanced thrombosis potential. This research aims to investigate the role of coagulation system activation and CXCL16 in T1DM progression and the possible preventive effect of the selective Factor Xa inhibitor, Fondaparinux (Fond). Forty male Wistar albino mice were classified into 4 groups. Control, Fond, Streptozotocin (STZ), and Fond + STZ groups. Biochemical, hematological, and histopathological parameters, expressions of CXCL16, insulin, fibrinogen, and PAR-2, were investigated. A significant increase in blood glucose level and expressions of CXCL16, fibrinogen, and PAR-2, together with histological and nuclear changes in the pancreatic islets, was observed in STZ-treated mice, accompanied by a reduction in the serum insulin level. Fond improved the deleterious effects resulting from STZ treatment. In conclusion, coagulation system activation and CXCL16 play a critical role in the initiation of T1DM and could be used as therapeutic targets for T1DM prevention.

Functional Food Potential of Chrysanthemum morifolium, Perilla frutescens, and Sophora japonica in Managing Hyperuricemia through Dual Enzyme Inhibition.

Amid growing concerns regarding gout and hyperuricemia associated with high-protein and purine-rich diets, the need for effective prevention and management strategies with minimal side effects has become increasingly critical. This study evaluates the potential of three commonly consumed plant-based functional foods, Chrysanthemum morifolium, Perilla frutescens, and Sophora japonica, inhibiting xanthine oxidase (XO) and adenosine deaminase (ADA), key enzymes in uric acid metabolism. Results from hyperuricemia model mice indicate that this blend significantly reduces serum uric acid levels, mirroring the efficacy of conventional prevention and management strategies such as allopurinol but with fewer adverse effects. Liquid chromatography-mass spectrometry (LC-MS) analysis confirms that flavonoids are the primary bioactive agents, exhibiting a strong affinity for XO. These findings highlight the viability of integrating plant-based functional foods into comprehensive gout management strategies, underscoring their role in enhancing patient health through dietary innovation.

Diabetes prevention after gestational diabetes: challenges and opportunities.

Gestational diabetes (GDM) poses significant health concerns for women and their offspring, with implications that extend beyond pregnancy. While GDM often resolves postpartum, a diagnosis of GDM confers a greater risk of future type 2 diabetes (T2D) and other chronic illnesses. Furthermore, the intergenerational impact of GDM predisposes offspring to increased chronic disease risk. Despite the awareness of the short- and long-term consequences of GDM, translating this knowledge into prevention strategies remains challenging. Challenges arise from a lack of clarity among health professionals regarding roles and responsibilities in chronic disease prevention and women's lack of awareness of the magnitude of associated health risks. These challenges are compounded by changes in the circumstances of new mothers as they adjust to balance the demands of infant and family care with their own needs. Insights into behaviour change strategies, coupled with advances in technology and digital healthcare delivery options, have presented new opportunities for diabetes prevention among women with a history of GDM. Additionally, there is growing recognition of the benefits of adopting an implementation science approach to intervention delivery, which seeks to enhance the effectiveness and scalability of interventions. Effective prevention of T2D following GDM requires a comprehensive person-centred approach that leverages technology, targeted interventions, and implementation science methodologies to address the complex needs of this population. Through a multifaceted approach, it is possible to improve the long-term health outcomes of women with prior GDM.

Social and Psychological Factors Influencing Drug Use Among Young People: Analysis of Modern Society

The article examines key aspects influencing the spread of drug use among young people. The main focus is on the analysis of social and psychological factors, such as the influence of family and immediate environment, the role of social networks and media, as well as the influence of peers and group dynamics. It also examines psychological aspects, including stress, anxiety, depression, personality characteristics and emotional instability, which can contribute to the formation of a tendency to use drugs. The article examines cultural and economic differences in drug use, revealing the impact of economic inequality, unemployment and changing social norms on the behavior of young people. Based on a comprehensive analysis of data from various sources, the article seeks to identify the main causes and mechanisms behind drug use among young people and offers recommendations for developing effective prevention and treatment strategies.

A novel, rapid, ultrasensitive diagnosis platform for detecting Candida albicans using restriction endonuclease‐mediated real-time loop-mediated isothermal amplification

IntroductionCandida albicans (C. albicans, CA) is an essential invasive fungus in clinical diagnosis. Although several detection methods exist, none meet the need for early diagnosis. A rapid, sensitive, and specific diagnostic tool is crucial for effective prevention and control of C. albicans infections.MethodsThis study aimed to develop a new, rapid, and ultrasensitive diagnostic tool for C. albicans detection based on restriction endonuclease-mediated real-time loop-mediated isothermal amplification (ERT-LAMP-CA). The ERT-LAMP-CA technology combines LAMP amplification, restriction endonuclease cleavage, and real-time fluorescence detection in a single reaction tube, which can complete a diagnosis of C. albicans in a short time (approximately 1 h).ResultsHerein, we developed the primer sequences required for ERT-LAMP-CA based on the ITS2 gene of C. albicans and found that ERT-LAMP-CA limit of detection was approximately 500 ag/μL genomic DNA and can present negative results for non-C. albicans templates. We tested sputum samples from 64 patients with suspected C. albicans infections to validate ERT-LAMP-CA applicability in clinical sample testing and found that ERT-LAMP-CA was consistent with multiplex PCR-capillary electrophoresis.DiscussionIn conclusion, ERT-LAMP-CA is a rapid, accurate, and sensitive assay with excellent potential for clinical and basic laboratory diagnosis and an efficient screening strategy.

Correlates of pre-exposure prophylaxis (PrEP) use among college students in the United States

Introduction HIV rates in the US continue to be high despite the availability of effective prevention medication such as pre-exposure prophylaxis (PrEP). Little is known about how undergraduate college students engaging with campus healthcare services use PrEP. This study of a national sample of undergraduate college students explored the sociodemographic and behavioral factors associated with PrEP use. Methods Data were collected as part of the National College Health Assessment (NCHA). Logistic regression models were used to estimate the likelihood of PrEP use. Results PrEP use was low (3.0%) and was associated with recent anal sex and identifying as men or transwomen. Being unsure about one’s HIV testing history was associated with higher odds of PrEP use, a potential concern considering how crucial HIV testing is to PrEP adherence. Discussion College students may benefit from more explicit discussions around HIV tests and the results of those tests as well as targeted messaging campaigns around PrEP.

Patient Safety and Medical Error Prevention in General Practice: A Comprehensive Systematic Review

Patient safety and medical error prevention remain critical issues in general practice, where medical errors can lead to adverse patient outcomes and increased healthcare costs. This systematic review synthesizes recent evidence on prevalent types of medical errors, effective prevention strategies, and outcomes of patient safety interventions within general practice settings. Following a comprehensive search across multiple databases, 52 studies published from 2014 to 2024 were included. Findings highlight medication errors, diagnostic inaccuracies, and communication lapses as the most common types of errors. Effective prevention strategies include the adoption of electronic health records (EHR), structured team communication protocols, checklist systems, and staff training programs on safety practices. These interventions have shown significant reductions in error rates and improvements in patient outcomes, though implementation is often hindered by barriers such as limited resources, resistance to change, and lack of training. This review underscores the importance of a multifaceted approach that combines technological, organizational, and educational interventions to enhance patient safety in general practice. Future research should explore long-term impacts of these interventions and address context-specific challenges to foster a culture of safety in healthcare settings.

The Role of Uterocervical Angle on Preterm Birth Incidence

Background: Preterm birth (PB) is associated with significant morbidities in surviving infants. Accurate prediction of PB is essential for effective prevention and management. Continuous monitoring of cervical parameters has shown utility in several studies. Objectives: This study aimed to investigate the role of the anterior uterocervical angle (UCA) in predicting the incidence of PB. Methods: A prospective, descriptive-analytic study was conducted with 165 pregnant women referred to the prenatal care clinic at Yas Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran, in 2021 - 2022. Participants were selected through convenience sampling. Cervical parameters, including UCA, length, and width, were measured via vaginal ultrasound during each trimester. All women were followed until delivery to determine PB incidence. Data were analyzed using descriptive and analytical statistical tests, including the chi-square or Fisher’s exact test and the independent samples t-test or Mann-Whitney U test. Results: Among the participants, 12 (7.3%) experienced preterm delivery. Cervical length was significantly shorter in women with PB during the second trimester (32.58 ± 4.77 mm vs. 34.68 ± 3.80 mm, P = 0.042) and third trimester (30.00 ± 4.74 mm vs. 32.77 ± 3.88 mm, P = 0.022). The mean UCA in women with preterm delivery was higher than in those with term delivery during both the second (90.58 ± 17.21° vs. 88.66 ± 16.76°) and third (100.25 ± 14.56° vs. 98.89 ± 17.78°) trimesters (P > 0.05). A UCA greater than 105° in the second trimester had a sensitivity of 16.7% and specificity of 81.5% for predicting PB. In the third trimester, a UCA greater than 105° showed a sensitivity of 58.3% and specificity of 60.7% for predicting PB. Conclusions: This study emphasizes the importance of regular cervical parameter measurements throughout pregnancy. A UCA greater than 105° in the third trimester appears to be a potential predictor of PB.

An Effective Prevention Approach against ARP Cache Poisoning Attacks in MikroTik-based Networks

Nowadays, leading manufacturers of enterprise-grade networking devices offer the dynamic ARP inspection (DAI) feature in their Ethernet Switches to detect and prevent ARP cache poisoning attacks from malicious hosts. However, MikroTik Ethernet switches do not yet support this feature. Within MikroTik-based networks, three potential approaches exist to prevent ARP cache poisoning attacks, each with drawbacks. This paper proposes an innovative approach called Gateway-controlled ARP (GCA) to prevent ARP cache poisoning attacks on a router-on-a-stick (RoaS) network using MikroTik networking devices, where a single router performs inter-VLAN routing through one physical interface. With this approach, all Ethernet switches are configured to forward ARP messages from hosts directly to the router for inspection and handling. A RouterOS script based on the GCA approach was implemented and executed on the router to handle all incoming ARP requests from any host in all VLANs, ensuring all hosts receive legitimate ARP responses from the router. This approach can effectively prevent spoofed ARP packets sent by malicious attackers. This approach was tested and evaluated on an actual RoaS network, focusing on processing time, CPU Load, and response time. The evaluation results show that the approach effectively prevents ARP cache poisoning attacks.

Mental Health Identification System

In an era where technology's reach extends to the intricacies of human well- being, "Mental Health Identification" emerges as a thought-provoking narrative that explores the convergence of innovation, ethics, and mental health. Relationships strain under the weight of newfound possibilities, underscoring. Developing an AI-Enabled Mental Health Identification for Early Intervention This project introduces an innovative AI-enabled mental health identification designed to revolutionize the early identification of mental health conditions. The project’s goal is to create a valuable tool that contributes to improved mental health awareness and support. The abstract provides a concise overview of the project. It highlights the development of an artificial intelligence-based mental health identification that utilizes cutting- edge machine learning algorithms to analyze face patterns, facial expressions, and textual inputs. The project’s focus is on creating an automated and non-intrusive tool for early detection and assessment of mental health conditions, aiming to contribute to improved mental health awareness and support. Mental health disorders have become one of the leading causes of disability worldwide, affecting millions of individuals. The early identification of mental health conditions is crucial for effective treatment and prevention. This paper presents a Mental Health Identification System that utilizes machine learning algorithms to predict and identify common mental health disorders based on a questionnaire dataset. The model is designed to focus on anxiety, depression, and stress disorders, using classification techniques to analyze user inputs

Biologics and airway remodeling in asthma: early, late, and potential preventive effects.

Although airway remodeling in severe and/or fatal asthma is stil considered irreversible, its individual components as a cause of clinical symptoms and/or lung function changes remain largely unknown. While inhaled glucocorticoids have not consistently been shown to affect airway remodeling, biologics targeting specific pathways of airway inflammation have been shown to improve lung function, mucus plugging, and airway structural changes that can exceed those seen with glucocorticoids. This superiority of biologic treatment, which cannot be solely explained by insufficient doses or limited durations of glucocorticoid therapies, needs to be further explored. For this field of research, we propose a novel classification of the potential effects of biologics on airway remodeling into three temporal effects: early effects (days to weeks, primarily modulating inflammatory processes), late effects (months to years, predominantly affecting structural changes), and potential preventive effects (outcomes of early treatment with biologics). For the identification of potential preventive effects of biologics, we call for studies exploring the impact of early biological treatment on airway remodeling in patients with moderate-to-severe asthma, which should be accompanied by a long-term evaluation of clinical parameters, biomarkers, treatment burden, and socioeconomic implications.

Study on Microstructure Evolution Characteristics of Coal in Low Temperature Oxidation Stage in Goaf of Longfeng Coal Mine

ABSTRACT Low temperature oxidation of coal is the nature of oxidation of coal with oxygen molecules at temperatures below its oxidation critical point or ignition point, usually from ambient temperature to about 200°C. Air leakage and uneven oxygen distribution significantly impact coal spontaneous combustion in goaf. Understanding the changes in free radicals and functional groups during low-temperature oxidation of coal under different oxygen concentrations is crucial for preventing and controlling residual coal self-ignition. This study employs Fourier transform infrared spectroscopy to analyze the effects of varying oxygen concentrations (3%, 5%, 9%, 15%, 21%) on functional groups and structural parameters during coal’s low-temperature oxidation. Results indicate that increasing oxygen concentration promotes the consumption of oxygen-containing functional groups, reducing their content from 71.9% to 52%. Concurrently, the activity and content of aromatic hydrocarbon functional groups rise rapidly from 4.8% to 52.6%. The aliphatic hydrocarbon structure shows a downward trend, indicating its minimal presence. Aromatic ring condensation increases coal sample aromaticity, suggesting higher maturity and weaker hydrocarbon generation potential, with minimal effect from oxygen concentration. Early-stage reactions show little change in coal’s basic structure, and coal-oxygen reactions remain low in low oxygen environments. This study provides an important basis for understanding the mechanism of coal spontaneous combustion in goaf and formulating effective prevention measures for coal spontaneous combustion.

Lipid metabolism and food ingredients from the perspective of thermogenic adipocytes.

The high heat-producing capacity of brown and beige adipocytes, collectively known as thermogenic adipocytes, contributes to whole-body energy expenditure and is an attractive target for the management of obesity. It has been revealed that the functions of thermogenic adipocytes are important for the regulation of whole-body carbohydrate and lipid metabolism, and the activation of thermogenic adipocytes seems to have beneficial effects for the management of obesity-related metabolic disorders, such as dyslipidemia. Recent studies have showed that specific food ingredients have the potential to activate thermogenic adipocytes via various mechanisms. Some of these are effective not only in rodents, but also in humans, and effective prevention of obesity using these food ingredients is expected. In this review, we introduce the recent findings on the regulatory mechanisms of lipid metabolism by thermogenic adipocytes and food ingredients, demonstrating the potential to activate thermogenic adipocytes and their underlying mechanisms.

Study: Virtual MH care visits reduce suicide‐related events

The rising suicide rates in the U.S. emphasize the need for effective prevention, researchers stated emphasizing the importance of their new study to determine the impact of telehealth — which they said has transformed access to mental health care — on suicide outcomes which is unknown.

Using medications to prevent or reduce the impact of poor air quality on health: a systematic review

Abstract Introduction Particulate matter (PM) is a mixture of tiny solid materials and liquid particles in the air that can trigger inflammatory reactions in multiple body systems, including the respiratory, cardiovascular and endocrine systems. Currently, there are no licensed pharmacological interventions to prevent or modify the effects of PM on different organs. However, several existing medications have shown promising results towards modifying or preventing the negative impact of PM. Aim To conduct a systematic review to explore pharmacological interventions that could potentially prevent, delay or treat the effects of PM on human health. Methods This systematic review complied with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework and was registered with PROSPERO database (CRD42023476448). Four databases were searched including; MEDLINE, Embase, PsycINFO and Scopus. Keywords were arranged into different relevant sets such as ‘air pollution’, ‘medication’ and ‘prevention’/’treatment’. All the resulting titles, abstracts and full-texts were screened independently by two researchers. Only peer reviewed articles published in English were included. A tailored data extraction sheet was used to collate all relevant data, including the study description (i.e. country, year), study design (i.e. prospective), medication information (i.e. type of medication, dose, indication), population (i.e. demographics and disease), effect on air pollution (i.e. treatment or prevention). Quality assessment was conducted using Newcastle Ottawa tool. Ethical approval was not required to undertake this systematic review. Results The search produced 689 articles, 676 of which were removed at the title (n=463), and abstract (n=184) and full-text (n=29) stages. Thirteen articles were included, 10 of which were rated ‘good’ quality, two ‘fair’ quality, and one ‘poor’ quality. There was a range of pharmacological interventions evaluated, including beta blockers, oral anti-diabetic agents, statins, non-steroidal anti-inflammatory drugs (NSAIDs), systematic glucocorticoids, inhalers (adrenergic, glucocorticoid and anticholinergic inhalers) and theophylline. All studies focused only on PM, with six providing information on the particle diameter (e.g., PM10, PM2.5 and PM0.1). Statins, NSAIDs and bronchodilators demonstrated the most significant impact on reducing the damage caused by PM on both the cardiovascular and respiratory systems through anti-inflammatory, vascular re-modelling, and broncho-dilating effect. These medications had already been prescribed in these study patients for other indications (e.g., diabetes or asthma). None of the included studies used a medication for the prevention or treatment of air pollution effects as an indication. Conclusion Some medications significantly prevented/treated the effects of poor air quality; however, this was inconsistent across studies. However, all studies were conducted in high to middle-high income countries; findings may have been different in low-income countries. More research is required on the effective medication dose, duration of administration, if being prescribed solely for air pollution protection, and benefits and risks for more vulnerable populations (i.e. multimorbid).

Tea nanoparticles modified halloysite clay coated polyurethane sponge as multifunctional sensors

Tea, as one of the three major beverages in the world, has antioxidant, anti-cancer, inhibitory inflammation, immune regulation, diabetes prevention, antibacterial and other effects. In this study, black tea and FeCl3·6H2O were chelated to functionally modify the outer surface of halloysite clay nanotube (Hal). A new nanomaterial with excellent photothermal properties, tea nanoparticles@Hal, was successfully synthesized. Tea nanoparticles@Hal powder can raise to 225.8 °C in 25 s, and the corresponding solution can raise to 50.5 °C in 8 min with a photothermal efficiency of 77.3 %. The tea nanoparticles@Hal was assembled on the polyurethane (PU) sponges by simply soaking to prepare conductive sensor. The flexible sensor shows a fast response time (132.8 ms) and a long service time (400 cycles), which have wide range of applications. The resistance changes with the pressure is in a regular functional relationship, and the sensor can measure the weight of objects with high accuracy. In addition, the sensor can stably monitor various physiological activities of the human body. When finger is bent, the sensor can produce the difference output signals. The prepared tea nanoparticles@Hal/PU sensor has broad prospects in fields such as human-computer interaction and medical detection.