Environmental Domains Research Articles

Assessing the quality of life in patients with drug-resistant tuberculosis: a cross-sectional study

BackgroundThis study investigated the current status of the quality of life (QOL) of drug-resistant tuberculosis (DR-TB) patients in Nanjing, China, and analyzed the influencing factors.MethodsThe survey was conducted among patients with DR-TB who were hospitalized in the tuberculosis department of the Second Hospital of Nanjing (Nanjing Public Health Medical Center) from July 2022 to May 2023. The Chinese version of the World Health Organization Quality of Life (WHOQOL-BREF) questionnaire was used to investigate the QOL levels of patients with DR-TB, and a multiple linear regression model was used to analyze the QOL influencing factors.ResultsA total of 135 patients participated in the study; 69.6% were male, the average age was 46.30 ± 17.98 years, 13.33% had an education level of elementary school or below, and 75.56% were married. The QOL scores were 51.35 ± 17.24, 47.04 ± 20.28, 43.89 ± 17.96, and 35.00 ± 11.57 in the physiological, psychological, social, and environmental domains, respectively. The differences between the four domain scores and the Chinese normative results were statistically significant (P < 0.05). The results of multiple linear regression analysis showed that the factors related to the physiological domain included residence, family per-capita monthly income, payment method, adverse drug reactions (ADRs), and comorbidities; psychological domain correlates included educational level, family per-capita monthly income, course of the disease, and caregivers; social domain correlates included age and comorbidities; and factors related to the environmental domain included age, education level, and comorbidities.ConclusionsIn Nanjing, China, patients with younger age, higher education level, living in urban areas, high family per-capita monthly income, no adverse drug reactions, no comorbidities, and having caregivers have better quality of life. Future interventions to improve the quality of life of patients with drug-resistant tuberculosis could be tailored to a specific factor.

The consequences of misinformation concern on media consumption

For the last decade, policymakers, journalists, and scientists have continued to alert us of the threat of misinformation for making sound decisions in the political, health, and environmental domains. In this study, we evaluate whether perceiving misinformation as a threat affects media use, particularly considering selection of media sources that are politically aligned. We show which groups are more likely to be concerned about misinformation and find experimental and correlational evidence of an impact of concern on greater use of politically aligned sources among Democrats. We also found no evidence that perceiving higher ability to detect misinformation decreases this association.

Carbon-based nanozymes: design, catalytic mechanisms, and environmental applications.

Carbon-based nanozymes are synthetic nanomaterials that are predominantly constituted of carbon-based materials, which mimic the catalytic properties of natural enzymes, boasting features such as tunable catalytic activity, robust regenerative capacity, and exceptional stability. Due to the impressive enzymatic performance similar to various enzymes such as peroxidase, superoxide dismutase, and oxidase, they are widely used for detecting and degrading pollutants in the environment. This paper presents an exhaustive review of the fundamental design principles, catalytic mechanisms, and prospective applications of carbon-based nanozymes in the environmental field. These studies not only serve to augment the comprehension on the intricate operational mechanism inherent in these synthetic nanostructures, but also provide essential guidelines and illuminating perspectives for advancing their development and practical applications. Future studies that are imperative to delve into the untapped potential of carbon-based nanozymes within the environmental domain was needed to be explored to fully harness their ability to deliver broader and more impactful environmental preservation and management outcomes.

Effects of Ayurvedic practices on quality of life of health professionals in Brazil: trends from a quasi experimental study

Integral health encompasses the way individuals live, considering their quality of life. An inadequate lifestyle can harm human health, increasing the risk of developing chronic non-communicable diseases, which represent 71% of the causes of death worldwide and 54.7% in Brazil. The COVID-19 pandemic has led to impacts on quality of life, resulting from lifestyle changes, especially among health professionals. This constitutes an important factor in the health-disease relationship and the core of the healthcare approach embraced by Ayurveda. The present study evaluated the role of daily Ayurvedic practices in improving the quality of life of health professionals working in the Family Health Strategy of SUS in Paty do Alferes/RJ, Brazil. Ayurveda practices based on Trayopastamba were introduced to 30 health professionals through lectures and guided activities from July to October 2021, spanning three months. Quality of life was assessed using the WHOQOL-BREF questionnaire before and after the intervention. An improvement in perceived quality of life was observed in the physical, psychological, and environmental domains (p > 0.05), while the social domain did not show statistically significant results. The physical domain demonstrated the most substantial score increase (10.95). Conversely, the social domain displayed the smallest rise in scores (5.83). In conclusion, the daily Ayurvedic practices demonstrated the potential to enhance the quality of life in this group, contributing to health promotion in a practical and economically accessible manner.

Smartphone enabled machine learning approach assisted copper (II) quantification and opto-electrochemical explosive recognition by Aldazine-functionalized chemobiosensor

An Aldazine-based optoelectrochemical sensor, BMH (1-(quinolin-4-ylmethylene)hydrazono)methyl)naphthalen-2-ol) has been introduced herein for selective detection of aqueous copper (Cu2+) and 2, 4, 6-Trinitrophenol (TNP) at an ultra-low level detection limit (0.09 ppm for Cu2+ and 0.019 ppm for TNP). Multichannel recognition aptitude of the chemosensor (BMH) towards both Cu2+ and TNP along with bountiful practical applications ascertained it as an innovative one in the environmental and biomedical domains. BMH can detect Cu2+ in water, fetal bovine serum, and human urine samples, while explosive TNP can be identified in water, soil, and matches powder. The intracellular Cu2+ and TNP recognition efficiencies of BMH have been investigated in human lung cancer cell lines (A459). The hassle-free smartphone ensemble machine learning approach for Cu2+quantification has been introduced which would certainly be a significant addition in the domain of water quality analysis. Moreover, the ethylenediaminetetraacetic acid (EDTA) mediated reversibility of the probe could serve as a logic gate imitating electrical circuitry.

Recognition of Food Ingredients—Dataset Analysis

Nowadays, food waste is seen as a complex problem with effects on the social, economic, and environmental domains. Even though this view is widely held, it is frequently believed that individual acts have little to no impact on the issue. But just like with recycling, there may be a significant impact if people start adopting more sustainable eating habits. We suggest using a cutting-edge convolutional neural network (CNN) model to identify food in light of these factors. To improve performance, this model makes use of several strategies, such as fine-tuning and transfer learning. Additionally, we suggest using the Selenium library to create a dataset by employing the web scraping technique. This strategy solves the problem that many open-source datasets have with the overrepresentation of foods from the Asian continent by enabling the addition of foods to the dataset in a customized way. First, using the PRISMA methodology, a thorough examination of recent research in this field will be carried out. We will talk about the shortcomings of the most widely used dataset (Food-101), which prevent the ResNet-50 model from performing well. Using this information, a smartphone app that can identify food and suggest recipes based on the ingredients it finds could be developed. This would prevent food waste that results from the lack of imagination and patience of most people. The food recognition model used was the ResNet-50 convolutional neural network, which achieved 90% accuracy for the validation set and roughly 97% accuracy in training.

Assessing the Spatiotemporal Dynamics of Environmental Sustainability in China

Environmental sustainability is crucial to the Sustainable Development Goals (SDGs). We can gain an overview of a region’s or country’s dynamics by quantifying and analyzing its patterns over time and space. It can then be used to develop more sustainable policies. This study created a database of indices covering China’s environment, economy, and resource domains. Using an improved Environmental Sustainability Index (ESI) approach, we assessed sustainability and its spatiotemporal dynamics in 31 Chinese provinces between 2000 and 2017. Our findings suggest that provinces with high levels of socioeconomic development tend to have higher environmental scores, especially after experiencing severe environmental issues. Some underdeveloped provinces achieved high scores due to their relatively low environmental pressure and high resource efficiency. However, most underdeveloped provinces had high environmental pressure and low resource efficiency, leading to low environmental sustainability. We also discovered that sustainability scores improved between 2000 and 2017, mainly due to socioeconomic advancements. Yet, some environmental issues, such as air pollution, worsened during the latter part. Therefore, we confirmed an inverted U-curve relationship between environmental, resource, and socioeconomic components. Clustering analysis based on provincial economic and demographic characteristics also revealed different chronological patterns of environmental scores across the clusters. Additionally, we detected the transfer of pollution from developed to less-developed regions during the early 2000s.

Pathogen genomics and One Health: A scoping review of current practices in zoonotic disease research

ObjectivesWhole-genome sequencing has revolutionized the field of infectious disease surveillance, enabling near real-time detection of pathogens and tracking how infections may spread. Our study aimed to characterize genomic applications to cross-domain zoonotic pathogen transmission at the human-animal and/or human-environment interfaces. MethodsWe performed a scoping review of studies that have applied genomic epidemiology to zoonotic disease transmission across One Health domains (human, animal, and environment). We identified 114 records published between 2005 and 2022 which reported multi-domain genomic data of zoonotic pathogens integrated into phylogenetic models. ResultsMost studies investigated bacterial pathogens, highlighting key knowledge gaps for other zoonotic agents, particularly arboviruses. Sampling and sequencing efforts varied greatly across domains: the median number and range of pathogen genomes analyzed were highest for humans (23; 1–29,586) and lowest for the environment domain (13; 1–956). Genomics was used to track zoonotic disease outbreaks and cross-domain transmission, to improve pathogen surveillance, and to disentangle evolutionary dynamics driving lineage diversification and virulence. ConclusionsOur study highlights current practices and knowledge gaps to guide future study designs and genomic applications to multi-domain and cross-species transmission of zoonoses, with the potential to identify key infection sources and inform interventions for local and global health security.

Radiation-induced Chronic Pain Plagues Head and Neck Cancer Survivors: A Cross-sectional Analysis From the Cohort in Radiotherapy-related Nervous System Complications

The epidemiology and prognosis of radiation-induced chronic pain, especially chronic neuropathic pain (CNP), are the understudied domain among head and neck cancer (HNC) survivors after radiotherapy (RT). This study aimed to estimate the prevalence of such chronic pain, and explore its correlations with mental health, sleep disorders, cognitive function, and quality of life (QOL) within these patients. This research encompassed HNC survivors post RT. The determination of radiation-induced chronic pain and CNP adhered to the guidelines outlined by the International Association for the Study of Pain. Multivariable regression analyses were employed to explore the relationship between pain and anxiety, depression, sleep disturbances, cognitive function, and QOL. A total of 1,071 HNC survivors post RT were included in this study. The prevalence of radiation-induced chronic pain was 67.1%, and the prevalence of RT-associated CNP was 38.3%. Compared with those reporting no pain, patients with radiation-induced chronic pain had a significantly increased risk of anxiety, depression, and sleep disorders (all P < .001). And there was a significantly negative association between chronic pain and QOL across physiological (P < .001), psychological (P < .001), social relationships (P = .001), and environmental (P = .009) domains. Compared with non-CNP, patients with RT-related CNP had a higher risk of anxiety (P = .027) and sleep disorders (P = .013). The significantly negative associations were found between CNP and the physiological (P = .001), psychological (P = .012), and social score (P = .035) in World Health Organisation Quality of Life Assessment-Bref. This study underscores the substantial prevalence of chronic pain, particularly CNP, and its potential impact on the mental health, sleep, and QOL among HNC survivors post RT. PerspectiveThis study highlights the high prevalence of radiation-induced chronic pain and CNP, and their potential impacts on anxiety, depression, sleep, and QOL among the HNC survivors. Clinically, these findings have important implications for improving the care and outcomes of HNC survivors.

Temporal variability of sea surface temperature affects marine macrophytes range retractions as well as gradual warming

Record mean sea surface temperatures (SST) during the past decades and marine heatwaves have been identified as responsible for severe impacts on marine ecosystems, but the role of changes in the patterns of temporal variability under global warming has been much less studied. We compare descriptors of two time series of SST, encompassing extirpations (i.e. local extinctions) of six cold-temperate macroalgae species at their trailing range edge. We decompose the effects of gradual warming, extreme events and intrinsic variability (e.g. seasonality). We also relate the main factors determining macroalgae range shifts with their life cycles characteristics and thermal tolerance. We found extirpations of macroalgae were related to stretches of coast where autumn SST underwent warming, increased temperature seasonality, and decreased skewness over time. Regardless of the species, the persisting populations shared a common environmental domain, which was clearly differentiated from those experiencing local extinction. However, macroalgae species responded to temperature components in different ways, showing dissimilar resilience. Consideration of multiple thermal manifestations of climate change is needed to better understand local extinctions of habitat-forming species. Our study provides a framework for the incorporation of unused measures of environmental variability while analyzing the distributions of coastal species.

Beyond Diagnosis and Comorbidities-A Scoping Review of the Best Tools to Measure Complexity for Populations with Mental Illness.

Beyond the challenges of diagnosis, complexity measurement in clients with mental illness is an important but under-recognized area. Accurate and appropriate psychiatric diagnoses are essential, and further complexity measurements could contribute to improving patient understanding, referral, and service matching and coordination, outcome evaluation, and system-level care planning. Myriad conceptualizations, frameworks, and definitions of patient complexity exist, which are operationalized by a variety of complexity measuring tools. A limited number of these tools are developed for people with mental illness, and they differ in the extent to which they capture clinical, psychosocial, economic, and environmental domains. Guided by the PRISMA Extension for Scoping Reviews, this review evaluates the tools best suited for different mental health settings. The search found 5345 articles published until November 2023 and screened 14 qualified papers and corresponding tools. For each of these, detailed data on their use of psychiatric diagnostic categories, definition of complexity, primary aim and purpose, context of use and settings for their validation, best target populations, historical references, extent of biopsychosocial information inclusion, database and input technology required, and performance assessments were extracted, analyzed, and presented for comparisons. Two tools-the INTERMED, a clinician-scored and multiple healthcare data-sourced tool, and the VCAT, a computer-based instrument that utilizes healthcare databases to generate a comprehensive picture of complexity-are exemplary among the tools reviewed. Information on these limited but suitable tools related to their unique characteristics and utilities, and specialized recommendations for their use in mental health settings could contribute to improved patient care.

Impact of Ocrelizumab on Disease Progression, Memory Improvement, and Quality of Life in Patients with Relapsing-Remitting Multiple Sclerosis: A Longitudinal MRI and Clinical Criteria Analysis.

Multiple sclerosis (MS) is a chronic, progressive neurological disorder that significantly impacts quality of life and functionality. Ocrelizumab, a monoclonal antibody targeting CD20-positive B cells, has emerged as a treatment for relapsing-remitting MS (RRMS). This study aimed to assess the impact of ocrelizumab on disease progression and quality of life over a longitudinal course, utilizing clinical criteria and magnetic resonance imaging (MRI) analyses. Conducted at the Neurology Department of Pius Brinzeu Clinical Emergency Hospital in Western Romania from 2020 to 2023, this observational study enrolled 93 patients with RRMS who commenced ocrelizumab therapy. The study employed the Expanded Disability Status Scale (EDSS) and MRI to evaluate disease progression, while quality of life was assessed using the World Health Organisation Quality of Life (WHOQOL) questionnaire, Beck Depression Index (BDI), and MOCA scales. Significant improvements were observed post-treatment. EDSS scores decreased from 4.61 to 4.08 (p = 0.038), indicating reduced disability. MRI analyses showed a substantial decrease in expansive lesions (from 67.74% to 26.88%, p < 0.001) and an increase in stationary lesions (from 32.26% to 73.12%, p < 0.001). Quality of life improvements were notable in the physical (from 58.42 to 64.84, p = 0.005) and environmental domains (from 63.21 to 68.44, p = 0.033). Cognitive functions, assessed via Montreal Cognitive Assessment (MOCA), showed a significant total score increase from 20.38 to 22.30 (p < 0.001). Subgroup analysis revealed more pronounced effects in females and younger patients, with a significant reduction in depressive symptoms measured by BDI scores (from 14.35 to 11.62, p = 0.003). Ocrelizumab significantly reduced disease activity and disability in RRMS patients, as demonstrated by improvements in EDSS scores and MRI findings. Quality of life and cognitive functions also showed considerable enhancements. These findings support ocrelizumab's efficacy in not only managing MS symptoms but also improving overall patient well-being.

Regenerative positive psychology: A call to reorient wellbeing science to meet the realities of our world

ABSTRACT Positive psychology has had an impressive first 25 years. However, it and related wellbeing sciences are at risk of being rendered futile at a time of staggering crises across psychological, social, political, and environmental domains. This paper is a call for a new science of wellbeing, a Regenerative Positive Psychology, that reorients the field toward protecting and expanding the growth and health of the life-sustaining systems necessary for our wellbeing. This paper asks whether life has improved significantly since the launch of positive psychology, appraises the field’s disproportionate emphasis on individual wellbeing, describes regenerative approaches in other fields, and proposes Three Pillars for a Regenerative Positive Psychology that is better equipped to take on the daunting challenges ahead. As fields rooted in strengths, hope, and purpose, positive psychology together with wellbeing sciences are ideally suited to take greater leadership in facing the world’s crises and building more positive futures for all.

Water strategies and management: current paths to sustainable water use

Freshwater is unquestionably the most crucial resource essential for the sustenance and advancement of humankind. This invaluable entity surpasses all societal, economic, and environmental domains, consequently rendering it a ubiquitous good. Globally, it has been estimated that the industrial sector employs approximately 20% of the available freshwater. The principal aim within the industrial domain is to maximize production efficiency, rather than prioritizing the enhancement of water conservation and efficiency. Research suggests that a favorable association exists between the monetary investments made in technological improvements for industrial water treatment and reuse and a profitable return on investment that is sustained over a prolonged duration. This could plausibly explain the dearth of willingness exhibited by some corporations in dedicating resources to this vital issue. The objective of this study is to explicate the notion of sustainability concerning water management that can be operationalized in the context of Pakistan, while delving into the latest advancements in the sphere of sustainable management practices. This research endeavor shall serve as an instructive source for executives, entrepreneurs, and vested parties in various industrial domains to propel their endeavors toward sustainable practices while simultaneously achieving optimization and surpassing the benchmarks set by national regulations and international establishments. This investigation has illuminated the imperative of executing an all-encompassing water management strategy that incorporates the ecological, financial, and societal dimensions as the essential constituents of viability in industrial water utilization. This work ought to possess a worldwide scope, bearing in mind the ubiquitous character of industrial practices in the epoch of globalization.

The adsorption behavior of perfluorooctane sulphonate on diamane regulated by strain

The adsorption of per- and polyfluoroalkyl substances (PFAS), such as perfluorooctane sulfonate (PFOS), is currently a critical issue in the environmental domain, yet it is not fully understood. Diamane, as a stable monolayer adsorbent, has garnered significant research interest. Defects and strain are reported to play a crucial role in regulating its electronic structure. In this study, we employ density functional theory (DFT) calculations to investigate the adsorption of PFOS on both pristine and nitrogen-vacancy (N–V) defected diamane, respectively. Additionally, we systematically examine the effects of strain in diamane along both the a- and b-directions (two directions of a monolayer) on PFOS adsorption. This analysis involves studying the adsorption energy (Eads), electron transfer, and the partial density of states. Finally, we propose the synergistic effects of N–V defects and compression strain in diamane, which enhance PFOS adsorption. Diamane is considered a promising candidate for PFOS sensing or capture.

Associations of upper- and lower-limb muscle strength, mass, and quality with health-related quality of life in community-dwelling older adults.

This study aimed to investigate the associations between upper- and lower-limb muscle strength, mass, and quality and health-related quality of life (HRQoL) among community-dwelling older adults. A cross-sectional study was conducted with 428 Brazilian community-dwelling older adults aged 60 to 80 years. Upper- and lower-limb muscle strength were evaluated through the handgrip strength (HGS) test and the 30-s chair stand test, respectively. Muscle mass was assessed by dual-energy X-ray absorptiometry (DXA) and bioelectrical impedance analysis (BIA). Muscle quality was evaluated using the muscle quality index (MQI). HRQoL was assessed using the World Health Organization Quality of Life Brief Version questionnaire. Lower-limb, but not upper-limb, muscle strength and quality were independently associated with HRQoL, particularly within the domains of physical capacity, environment, and overall HRQoL for both males and females (P < 0.05). DXA- and BIA-derived analyses provided similar results in relation to muscle mass and muscle quality. Lower-limb, but not upper-limb, muscle strength and quality were independently associated with HRQoL among community-dwelling older adults. Moreover, the results obtained from both BIA and DXA were similar, highlighting that BIA can serve as a viable surrogate method for estimating body composition in resource-limited clinical settings. Geriatr Gerontol Int 2024; 24: 683-692.

Wet markets in Southeast Asia and access to healthy diets

Hunger and malnutrition in all forms continues to rise in Africa and Asia. Urban and rural communities’ diets in Southeast Asia (SEA) are increasingly unhealthy, with consumption influenced by affordability and convenience. The cost of a healthy diet is a major barrier to accessing healthy foods in SEA. Wet markets are key places in food environments where people buy and sell a variety of foods. They are especially important for food and nutrition insecure communities. This mini narrative review explores the role that wet markets, in SEA food environments, play in providing local communities with access to healthy foods. Fourteen peer-review papers, published in English between 2017 and 2022, were identified during screening and analysed according to six food environment domains. Findings highlight that convenient access to wet markets facilitates access to fruits and vegetables in peri urban and urban areas. Fresh foods, most notably fruits, were viewed as being more expensive than processed foods which in turn influenced purchasing behavior. Divergent findings were presented in the identified papers regarding affordability of food in wet markets. Concerns about food quality and the use of chemicals and pesticides were raised. This review was constrained by several factors including the lack of consistent and meaningful definitions and typologies of the varied forms of wet markets. Looking ahead, better defined interpretations of wet markets can enhance the development and refinement of appropriate policies and actions and comparison of wet markets, in respect of access to diverse, healthy foods, vendor practices and consumer food choices.

Sustainability in the Public Healthcare Sector: Insights From an Analytical Hierarchy Process Analysis.

Background This study aimed to identify sustainability priorities within Oman's healthcare sector using the analytical hierarchy process (AHP) methodology. Mainly, it focused on assessing the relative importance of economic, environmental, and social factors and their sub-elements in sustaining Oman's healthcare system. Methodology A semi-quantitative, cross-sectional design was employed to collect data from 23 Omani healthcare experts with at least 10 years of experience in five different public hospitals in Oman. The AHP methodology was used to analyze pairwise comparisons of sustainability factors and derive their priorities. The consistency ratio was calculated to ensure the reliability of the analysis, and the transitivity rule was applied to address inconsistencies in pairwise comparisons. Results The findings revealed a strong emphasis on environmental and social sustainability, with economic considerations ranking comparatively lower. Circular practices emerged as a key priority within the environmental domain, while patient satisfaction stood out within the social domain. The analysis showed the integration between healthcare, environmental health, and societal well-being, emphasizing the need for holistic approaches to sustainability. Conclusions This study contributes to the understanding of healthcare sustainability by providing empirical evidence of stakeholder preferences within Oman's healthcare system. By quantitatively assessing the relative importance of economic, environmental, and social factors, it informs decision-making and resource allocation toward sustainable healthcare development. The findings also support the argument for integrated approaches to healthcare sustainability that balance economic efficiency with environmental protection and social inclusion.

It's not just Black and White: Identifying the combined influence of multi-level determinants of tobacco use among Black adolescents.

Black individuals are disproportionately affected by tobacco-related illnesses. Although tobacco use is often initiated in adolescence and risk factors thereof originate from multiple domains of influence, investigations of tobacco use among Black adolescents seldom consider these multiple domains simultaneously. These examinations are needed to identify the influence of co-occurring risk factors on tobacco use and inform comprehensive tobacco prevention and treatment programs. Our study sought to identify the combined influence of factors across multiple domains on tobacco use among Black adolescents. Participants were Non-Hispanic Black (N = 1,801) adolescent (age 12-17 years) respondents from Wave 1 of the Population Assessment of Tobacco and Health study. Latent class analysis identified unique response patterns to items assessing risk of tobacco use across sociocultural, environmental, psychological, and behavioral (e.g., alcohol use) domains. Subsequent logistic regressions compared the odds of ever and current tobacco use between the classes. Four latent classes were identified. According to item response probabilities they were named: Low Risk (LR: 36.5%), Low Psychological (LP: 19.0 %), High Psychological (HP: 30.4%) and High Social, Psychological, and Behavioral (HSPB: 14.1%) risk. The odds of ever and current tobacco use were highest among adolescents in the HSPB latent class compared to the other latent classes (odds ratio: 6.5 to 42.1). Adolescents with the highest odds of tobacco use endorse multiple risks including feeling distress, perceiving tobacco as beneficial for handling stress, and using substances, and may prioritize the management of negative emotions over perceived health consequences from tobacco use. Multi-level interventions that incorporate the development of coping strategies for effectively handling negative affect may prove highly effective in preventing tobacco use among Black adolescents.

A Comprehensive Review of Hollow-Fiber Membrane Fabrication Methods across Biomedical, Biotechnological, and Environmental Domains.

This work presents methods of obtaining polymeric hollow-fiber membranes produced via the dry-wet phase inversion method that were published in renowned specialized membrane publications in the years 2010-2020. Obtaining hollow-fiber membranes, unlike flat membranes, requires the use of a special installation for their production, the most important component of which is the hollow fiber forming spinneret. This method is most often used in obtaining membranes made of polysulfone, polyethersulfone, polyurethane, cellulose acetate, and its derivatives. Many factors affect the properties of the membranes obtained. By changing the parameters of the spinning process, we change the thickness of the membranes' walls and the diameter of the hollow fibers, which causes changes in the membranes' structure and, as a consequence, changes in their transport/separation parameters. The type of bore fluid affects the porosity of the inner epidermal layer or causes its atrophy. Porogenic compounds such as polyvinylpyrrolidones and polyethylene glycols and other substances that additionally increase the membrane porosity are often added to the polymer solution. Another example is a blend of two- or multi-component membranes and dual-layer membranes that are obtained using a three-nozzle spinneret. In dual-layer membranes, one layer is the membrane scaffolding, and the other is the separation layer. Also, the temperature during the process, the humidity, and the composition of the solution in the coagulating bath have impact on the parameters of the membranes obtained.