World Population Research Articles

Beyond Depression and Anxiety in IBD: Forging a Path Towards Emotional Healing.

Inflammatory Bowel Diseases (IBD) are chronic, often debilitating diseases characterized by inflammation of the digestive tract. IBDs affect up to 1% of the world's population and tend to be diagnosed in the second and third decades of life. In addition to physical burdens, IBDs have significant psychological manifestations stemming from bidirectional inflammatory and coping pathways and thus, are best understood from a biopsychosocial perspective. Though previous IBD literature has predominantly focused on traditional psychological comorbidities, such as anxiety and depression, recent studies have uncovered adjustment disorders, post-traumatic stress, and disordered eating as prevalent manifestations of the disease. This review will summarize the rates and postulated biopsychosocial mechanisms underlying these conditions to frame how cultivating resilience can protect against IBD symptoms and help forge a path towards emotional healing. We will also provide guidance to aid clinicians in screening for these conditions and creating a trauma-informed healthcare environment.

Capivasertib and fulvestrant for patients with HR-positive/HER2-negative advanced breast cancer: analysis of the subgroup of patients from Japan in the phase 3 CAPItello-291 trial.

In CAPItello-291, capivasertib-fulvestrant significantly improved progression-free survival (PFS) versus placebo-fulvestrant in the overall and PIK3CA/AKT1/PTEN-altered population with hormone receptor-positive (HR-positive)/human epidermal growth factor receptor 2-negative (HER2-negative) advanced breast cancer. Capivasertib-fulvestrant is approved in Japan for the treatment of patients with one or more tumor biomarker alterations (PIK3CA, AKT1 or PTEN). Here, we report outcomes in the CAPItello-291 subgroup of patients from Japan. Adults with HR-positive/HER2-negative advanced breast cancer whose disease had relapsed or progressed during or after treatment with an aromatase inhibitor, with or without previous cyclin-dependent kinase 4/6 (CDK4/6) inhibitor therapy, were randomly assigned (1:1 ratio) to receive capivasertib or placebo, plus fulvestrant. The dual primary endpoint was investigator-assessed PFS in the overall andPIK3CA/AKT1/PTEN-altered population. Safety was a secondary endpoint. Of 708 patients randomized in CAPItello-291, 78 were from Japan (37 randomized to capivasertib-fulvestrant and 41 to placebo-fulvestrant). In the Japan subgroup, PFS numerically favored the capivasertib-fulvestrant arm (hazard ratio 0.73; 95% CI 0.40-1.28), consistent with the analysis of PFS in the global population. Similarly, in the Japan subgroup of patients with PIK3CA/AKT1/PTEN-altered tumors, PFS favored the capivasertib-fulvestrant arm (hazard ratio 0.65; 95% CI 0.29-1.39), consistent with the global population. The adverse event profile of capivasertib-fulvestrant in the Japan subgroup was broadly similar to that in the global population; no new safety concerns were identified. Outcomes in the Japan subgroup were broadly similar to those of the global population, supporting the clinical benefit of capivasertib-fulvestrant in treating HR-positive/HER2-negative advanced breast cancer that has progressed on, or after, an endocrine-based regimen.

Innovative Study on Solar Energy Conversion and Storage Through Malachite Green + Ascorbic Acid + Sodium Lauryl Sulphate For Photogalvanics

Objective: To improve the output of photogalvanics (PG) cell. Methods: The specially designed H shaped PG cell was studied for better electrical outcomes. The PG cell setup consists of two electrode, digital pH meter, resistance key, carbon pot, and microammeter. The system consisting of Malachite Green (MCG), Ascorbic acid (AA), and Sodium Lauryl Sulphate (SLS) was examined in terms of photopotential (PP) and photocurrent (PC). Findings: The measured PC was 391.00 µA, while the observed PP was 926.00 mV. The finest and most dependable renewable energy option to help the world's population meet their energy requirements is solar energy. Novelty: Better results on Photo Galvanic (PG) cells are reported in the present research, helping to achieve the goal providing clean and sustainable energy. The intended electrical outcomes were obtained by using the MCG + AA + SLS, PG cell arrangement. Keywords: Malachite Green, Photogalvanics, Sodium Lauryl Sulphate, Ascorbic acid, Photopotential

Lower Socioeconomic Status Predicts Increased Proinflammatory Signaling in Late Pregnancy: Evidence From a Filipino Cohort.

Maternal socioeconomic status (SES) is an important predictor of adverse birth outcomes and postnatal health across global populations. Chronic inflammation is implicated in cardiometabolic disease risk in high-income contexts and is a potential pathway linking maternal adversity to offspring health trajectories. To clarify how socioeconomic inequality shapes pregnancy inflammation in middle-income settings, we investigated SES as a predictor of inflammatory cytokines in late gestation in a sample from the Cebu Longitudinal Health Nutrition Survey in Cebu, Philippines. We used multiple regression to evaluate maternal SES, reflected in household assets, as a predictor of general inflammation (C-reactive protein), inflammatory cytokines (interleukin-6, interleukin-10), and inflammatory balance (n = 407). Inflammatory markers were measured at 29.9 weeks gestation in dried blood spots, and a measure reflecting relative balance of IL6 and IL10 was calculated to capture pro- versus anti-inflammatory skewed immune profiles. Greater household assets significantly predicted lower IL6 concentration (p < 0.001), with a trend toward lower IL6 relative to IL10 (p = 0.084). C-reactive protein and IL10 were not individually related to SES. The inverse relationship between SES and pregnancy inflammation in Cebu is consistent with results from high-income settings. These findings further highlight the influence of socioeconomic conditions on immune regulation during pregnancy. Given the evidence that gestational inflammation impacts offspring fetal growth, our results suggest that social and economic effects on immune function may be an important pathway for the intergenerational transmission of health disparities.

Natural Defense: The Inhibitory Effects of Endophytic Bacillus and Xylaria sp. against Rice Pathogens

Aim: Endophytes living inside the plant tissues are known to play a crucial role in the physiology and developmental functioning of host plants. Rice is the major food crop that feeds half of the world population. But pest and diseases lead to drastic yield reduction in rice. Sustainable and eco-friendly disease management strategies are urgently needed to reduce the reliance on chemical pesticides and mitigate the environmental impact of intensive agriculture.The aim of the study was the selection of natural suppressors of the brown spot and sheath blight diseases in rice. In this study, three bacterial endophytes viz., Bacillus subtilis isolate PAL 11, B. altitudins isolate TSL-4 and B. altitudinis isolate KAM-11 and one endophytic fungal isolate Xylaria sp. isolate KTD-2 were tested for their potential to inhibit Bipolaris oryzae and Rhizoctonia solani under in vitro conditions. Methodology: In vitro evaluation of endophytes against two major rice pathogens viz., Rhizoctonia solani and Bipolaris oryzae causing sheath blight and brown leaf spot respectively were tested by dual culture technique. Results: All the tested bacterial and fungal endophytes significantly inhibited both the pathogens under in vitro conditions. Among the bacterial endophytes, B. subtilis isolate PAL-11 exhibited highest inhibition of both the pathogens. The mycelial inhibition of B. oryzae was 56.04 and 74.48 per cent respectively at 5 and 8 days after dual culturing whereas the inhibition of R. solani was 80.31 and 80.22 per cent respectively at 3 and 5 days after dual culturing. The fungal endophyte Xylaria sp. isolate KTD-2 exhibited 63.2 and 67.95 per cent inhibition of mycelial growth of B. oryzae at 5 and 8 days respectively after the pathogen inoculation. The mycelial growth of R. solani was also significantly inhibited (54.95 %) by the fungal endophyte at 5 days after pathogen inoculation. Conclusion: This research highlights the potential role of endophytes in sustainable agriculture and suggests that integrating beneficial microbes into rice disease management strategies could help enhance plant health, increase crop yields, and contribute to global food security.

A novel lightweight deep learning model based on SqueezeNet architecture for viral lung disease classification in X-ray and CT images

COVID-19 has affected hundreds of millions of individuals, seriously harming the global population’s health, welfare, and economy. Furthermore, health facilities are severely overburdened due to the record number of COVID-19 cases, which makes prompt and accurate diagnosis difficult. Automatically identifying infected individuals and promptly placing them under special care is a critical step in reducing the burden of such issues. Convolutional Neural Networks (CNN) and other machine learning techniques can be utilized to address this demand. Many existing Deep learning models, albeit producing the intended outcomes, were developed using millions of parameters, making them unsuitable for use on devices with constrained resources. Motivated by this fact, a novel lightweight deep learning model based on Efficient Channel Attention (ECA) module and SqueezeNet architecture, is developed in this work to identify COVID-19 patients from chest X-ray and CT images in the initial phases of the disease. After the proposed lightweight model was tested on different datasets with two, three and four classes, the results show its better performance over existing models. The outcomes shown that, in comparison to the current heavyweight models, our models reduced the cost and memory requirements for computing resources dramatically, while still achieving comparable performance. These results support the notion that proposed model can help diagnose Covid-19 in patients by being easily implemented on low-resource and low-processing devices.

Impact of starch profile on glycemic index of coloured and non-pigmented genotypes of rice (Oryza sativa L.)

Abstract Rice serves as a crucial staple food, supplying energy and nutrients to roughly half the global population. Consumers prefer to take mostly the white rice, but pigmented rice is enriched with anthocyanin and has potential health benefits. The study of 27 rice genotypes consisting of eight non-pigmented and 19 pigmented genotypes were estimated for protein content, antioxidant activity and starch profile including total starch(TS), Resistant Starch(RS), Slowly Digestible Starch(SDS), Rapidly Digestible Starch(RDS), Amylose content(AC), and Glycemic Index (GI). This study shows that RS and SDS levels have a negative correlation with GI, whereas RDS has a positive association with the glycemic index. The starch content and amylose content were not showing any direct relation with the GI. There was minimal variation in the glycemic index between pigmented and non-pigmented rice varieties. Keywords: Antioxidant activity, glycemic index, pigmented rice, resistant starch, slowly digestible starch, starch profile

Precision livestock farming in the 21st century: Challenges and opportunities for sustainable agriculture

Abstract This study aimed to review the recent development of different technologies in precision livestock farming (PLF), along with their scopes and challenges. PLF is an innovative, contemporary, and fast-expanding approach to agriculture that aims to improve sustainable livestock farming. The growing global population has increased the demand for animal products. To meet this demand, farmers have to increase their production, so without the integration of precision technology, this cannot be achieved. PLF currently employs a variety of technologies. Some of these methods include vision-based solutions, load cells, accelerometers, microphones, thermal cameras, photoelectric sensors, and radio-frequency identification (RFID). Despite the availability of different PLF technologies, their adoption by farmers varies widely on the basis of the cost of investment, ease of operation, availability, and accessibility. These technologies are used to track different activities of livestock farming, such as feeding, drinking, physical behavior, temperature regulation, tracking and identification, estrus detection, disease detection, and milking. PLF contributes significantly to technological advancement, human-animal relationships, environmental sustainability, and increased productivity. It does, however, present a number of obstacles and eventual advantages.

Metal-Organic Frameworks for Sustainable Crop Disease Management: Current Applications, Mechanistic Insights, and Future Challenges.

Efficient management of crop diseases and yield enhancement are essential for addressing the increasing food demands due to global population growth. Metal-organic frameworks (MOFs), which have rapidly evolved throughout the 21st century, are notable for their vast surface area, porosity, and adaptability, establishing them as highly effective vehicles for controlled drug delivery. This review methodically categorizes common MOFs employed in crop disease management and details their effectiveness against various pathogens. Additionally, by critically evaluating existing research, it outlines strategic approaches for the design of drug-delivery MOFs and explains the mechanisms through which MOFs enhance disease resistance. Finally, this paper identifies the current challenges in MOF research for crop disease management and suggests directions for future research. Through this in-depth review, the paper seeks to enrich the understanding of MOFs applications in crop disease management and offers valuable insights for researchers and practitioners.

Unveiling genetic basis of yield and salinity tolerance in rice (Oryza sativa L.) through insights from generation mean analysis

Abstract Rice (Oryza sativa L) serves as a primary food source for over a billion people worldwide and is encountering challenges in yield due to the increasing global population and climate changes. Understanding the genetic variations that underlie complex traits is crucial for its enhancement and this can be accomplished through generation mean analysis. In this study, investigation was made to study the genetic mechanisms governing important quantitative traits, specifically yield and salinity tolerance in rice. The study involved six generations (P1, P2, F1, F2, B1 and B2) resulting from two crosses between three parents. The investigation specifically focused on generation mean analysis, assessing twelve traits includes days to flowering, plant height , total number of tillers , number of productive tillers , panicle length, flag leaf length, flag leaf width, number of filled grains per panicle, total number of grains per panicle, spikelet fertility, thousand-grain weight and single plant yield in the two crosses. In Cross I (ADT 45 × APD 19002), traits such as plant height, days to fifty percent flowering, total number of tillers and total number of grains per panicle exhibited opposing signs for dominance × dominance (l) and dominance (h), indicating a prevalence of duplicate epistasis. At the same time, additive and additive × additive gene effects influenced total number of tillers, plant height, total number of grains per panicle, number of filled grains per panicle and spikelet fertility. In Cross II (CO 54 × APD 19002), total number of tillers, plant height, flag leaf length, total number of grains per panicle, spikelet fertility and single plant yield suggested a predominance of duplicate epistasis. Further, the total number of grains per panicle, total number of tillers per plant, spikelet fertility and thousand-grain weight were primarily governed by additive and additive × additive gene effects. These observations show the feasibility of enhancement through selection in subsequent generations, emphasizing the necessity of integrating selection with salinity tolerance screening for the development of high-yield, salinity-tolerant rice varieties. Keywords: Scaling test, genetic effects, salinity tolerance

Investigation into the significant role of dermal-epidermal interactions in skin ageing utilising a bioengineered skin construct.

Increased prevalence of skin ageing is a growing concern due to an ageing global population and has both sociological and psychological implications. The use of more clinically predictive in vitro methods for dermatological research is becoming commonplace due to initiatives and the cost of clinical testing. In this study, we utilise a well-defined and characterised bioengineered skin construct as a tool to investigate the cellular and molecular dynamics involved in skin ageing from a dermal perspective. Through incorporation of ageing fibroblasts into the dermal compartment we demonstrate the significant impact of dermal-epidermal crosstalk on the overlying epidermal epithelium. We characterise the paracrine nature of dermal-epidermal communication and the impact this has during skin ageing. Soluble factors, such as inflammatory cytokines released as a consequence of senescence associated secretory phenotype (SASP) from ageing fibroblasts, are known to play a pivotal role in skin ageing. Here, we demonstrate their effect on epidermal morphology and thickness, but not keratinocyte differentiation or tissue structure. Through a novel in vitro strategy utilising bioengineered tissue constructs, this study offers a unique reductionist approach to study epidermal and dermal compartments in isolation and tandem.

Using radiocarbon of plants to track inequity in urban environments

Societal Impact StatementOver half of Earth's human population lives in urban areas where pollution from fossil fuel combustion threatens urban air quality and public health. The isotopic composition of plant tissues can be used as a tool to estimate local variation in the amount of fossil fuel–derived carbon dioxide. We present a case study that examines this variation against the backdrop of historic discriminatory policies in Saint Paul, Minnesota, USA. Data suggest higher loads of atmospheric fossil carbon in neighborhood greenspaces that are situated closer to large roads, which often correspond with historical policies. Evidence of unequal fossil fuel combustion, and potentially pollution load, may precipitate changes in urban management or pollution mitigation strategies.

Holistic Management Approach for Social-Ecological Systems in Iran

Social-ecological systems (SESs) in Iran face escalating challenges and pressures due to a multitude of environmental and social factors, such as global warming, population growth, and unsustainable resources management practices. This paper presents a comprehensive review of the historical context and evolution of SESs in Iran and examines the current challenges and pressures confronting these systems. The methods utilized include literature review, case studies, framework development, analysis and synthesis, comparative analysis, integration of feedback, and Driver-Pressure-State-Impact-Response (DPSIR) framework analysis. We also discuss opportunities for enhancing resilience and sustainability in the country’s SESs, including case studies of successful management approaches. This analysis highlights the urgent need for integrated and interdisciplinary approaches to manage SES in Iran, including with community engagement and inclusive participation. Our findings develop and recommend a holistic management approach that can effectively respond to changing social and ecological conditions over time. The suggested holistic management approach involves various processes and aspects, such as stakeholder engagement, baseline data collection and monitoring, scenario planning, adaptive management strategies, and evaluation. Overall, this paper provides a valuable resource for different stakeholders, especially researchers and policymakers interested in the management of SESs in Iran and offers insights to other neighboring nations encountering similar challenges in their SESs.

New Active Ingredients for Sustainable Modern Chemical Crop Protection in Agriculture.

Today, the agrochemical industry faces enormous challenges to ensure the sustainable supply of high-quality food, efficient water use, low environmental impact, and the growing world population. The shortage of agrochemicals due to consumer perception, changing needs of farmers and ever-changing regulatory requirements is higher than the number of active ingredients that are placed on the market. The introduction of halogen atoms into an active ingredient molecule offers the opportunity to optimize its physico-chemical properties such as molecular lipophilicity. As early as 2010, around four-fifths of modern agrochemicals on the market contained halogen atoms. In addition, it becomes clear that modern agrochemicals have increasingly complex molecular structures with one or more stereogenic centers in the molecule. Today, almost half of modern agrochemicals are chiral molecules (herbicides, insecticides/acaricides/nematicides ≪ fungicides) and most of them consist of mixtures such as racemic mixtures of enantiomers, followed by mixtures of diastereomers and mixtures of pure enantiomers. Therefore, it is important that halogen-containing substituents or stereogenic centers are considered in the structural optimization of the active ingredients to ultimately develop sustainable agrochemicals in terms of efficacy, ecotoxicology, ease of use and cost-effectiveness.

Abortion from an International Perspective after the Dobbs case

The American Supreme Court of Justice recently overturned the precedents that legalized abortion in the Dobbs v. Jackson Women’s Health Organization case. This article analyzes whether this decision is consistent with the current status of abortion as established in International Human Rights Law (IHRL), according to its classical sources (treaties and customary law). Since no treaty includes a right to abortion and there is no consistent practice among states to legalize abortion, various soft law instruments are discussed to clarify the consensus on this issue. These instruments include the agreements reached at the World Population Conferences, the Fourth World Conference on Women of 1995, and the pronouncements and case law of human rights mechanisms (treaty monitoring bodies and regional courts). This analysis shows that the arguments and conclusions in the Dobbs case are consistent with what states have agreed to internationally on the matter.

Perspectives on obesity imaging: [18F]2FNQ1P a specific 5-HT6 brain PET radiotracer.

Estimates suggest that approximatively 25% of the world population will be overweight in 2025. Better understanding of the pathophysiology of obesity will help to develop future therapeutics. Serotonin subtype 6 receptors (5-HT6) have been shown to be critically involved in appetite reduction and weight loss. However, it is not known if the pathological cascade triggered by obesity modifies the density of 5-HT6 receptors in the brain. Influence of diet-induced obesity (DIO) in Wistar rats was explored using MRI (whole-body fat) and PET ([18F]2FNQ1P as a specific 5-HT6 radiotracer). The primary goal was to monitor the 5-HT6 receptor density before and after a 10-week diet (DIO group). The secondary goal was to compare 5-HT6 receptor densities between DIO group, Wistar control diet group, Zucker rats (with genetic obesity) and Zucker lean strain rats. Wistar rats fed with high-fat diet showed higher body fat gain than Wistar control diet rats on MRI. [18F]2FNQ1P PET analysis highlighted significant clusters of voxels (located in hippocampus, striatum, cingulate, temporal cortex and brainstem) with increased binding after high-fat diet (p < 0.05, FWE corrected). This study sheds a new light on the influence of high-fat diet on 5-HT6 receptors. This study also positions [18F]2FNQ1P PET as an innovative tool to explore neuronal consequences of obesity or eating disorder pathophysiology.

Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities

With the world population rapidly increasing, transforming our agrifood systems to be more productive, efficient, safe, and sustainable is crucial to mitigate potential food shortages. Recently, artificial intelligence (AI) techniques such as deep learning (DL) have demonstrated their strong abilities in various areas, including language, vision, remote sensing (RS), and agrifood systems applications. However, the overall impact of AI on agrifood systems remains unclear. In this paper, we thoroughly review how AI techniques can transform agrifood systems and contribute to the modern agrifood industry. Firstly, we summarize the data acquisition methods in agrifood systems, including acquisition, storage, and processing techniques. Secondly, we present a progress review of AI methods in agrifood systems, specifically in agriculture, animal husbandry, and fishery, covering topics such as agrifood classification, growth monitoring, yield prediction, and quality assessment. Furthermore, we highlight potential challenges and promising research opportunities for transforming modern agrifood systems with AI. We hope this survey could offer an overall picture to newcomers in the field and serve as a starting point for their further research. The project website is https://github.com/Frenkie14/Agrifood-Survey.

Optimization of household medical waste recycling logistics routes: Considering contamination risks.

The escalating generation of household medical waste, a byproduct of industrialization and global population growth, has rendered its transportation and logistics management a critical societal concern. This study delves into the optimization of routes for vehicles within the household medical waste logistics network, a response to the imperative of managing this waste effectively. The potential for environmental and public health hazards due to improper waste disposal is acknowledged, prompting the incorporation of contamination risk, influenced by transport duration, waste volume, and wind velocity, into the analysis. To enhance the realism of the simulation, traffic congestion is integrated into the vehicle speed function, reflecting the urban roads' variability. Subsequently, a Bi-objective mixed-integer programming model is formulated to concurrently minimize total operational costs and environmental pollution risks. The complexity inherent in the optimization problem has motivated the development of the Adaptive Hybrid Artificial Fish Swarming Algorithm with Non-Dominated Sorting (AH-NSAFSA). This algorithm employs a sophisticated approach, amalgamating congestion distance and individual ranking to discern optimal solutions from the population. It incorporates a decay function to facilitate an adaptive iterative process, enhancing the algorithm's convergence properties. Furthermore, it leverages the concept of crossover-induced elimination to preserve the genetic diversity and overall robustness of the solution set. The empirical evaluation of AH-NSAFSA is conducted using a test set derived from the Solomon dataset, demonstrating the algorithm's capability to generate feasible non-dominated solutions for household medical waste recycling path planning. Comparative analysis with the Non-dominated Sorted Artificial Fish Swarm Algorithm (NSAFSA) and Non-dominated Sorted Genetic Algorithm II (NSGA-II) across metrics such as MID, SM, NOS, and CT reveals that AH-NSAFSA excels in MID, SM, and NOS, and surpasses NSAFSA in CT, albeit slightly underperforming relative to NSGA-II. The study's holistic approach to waste recycling route planning, which integrates cost-effectiveness with pollution risk and traffic congestion considerations, offers substantial support for enterprises in formulating sustainable green development strategies. AH-NSAFSA offers an eco-efficient, holistic approach to medical waste recycling, advancing sustainable management practices.

Incorporating multiracial and multiethnic experiences into genetic counseling practice and research: A necessary opportunity.

The conflation of race and genetic ancestry can have harmful consequences. Biological conceptualizations of race have long been used to justify inequities and distract from social structures that afford opportunities to some that are unjustly denied to others. Despite recent efforts within the scientific community to distinguish between the sociopolitical constructs of race and ethnicity and the biological constructs of genetic ancestry and genetic similarity, their conflation continues to influence genomic research and its translation into clinical care. One overlooked aspect of this problematic conflation is the extent to which discrete monoracial and monoethnic categorization systems persist and perpetuate unequal benefit-sharing in the clinical translation of genomic technologies. In genetic service delivery, reliance on discrete racial and ethnic categories undermines the clinical translation of genomic technologies for large segments of the global population. For multiracial and multiethnic individuals, who have complex identities that defy discrete categorization systems, the potential benefits of genomic discoveries are especially elusive. Scholars have recently begun to call for the inclusion of multiracial, multiethnic, and admixed individuals in race, ethnicity, and ancestry frameworks in genetics and genomics. However, little work has been done to explore and address the unique challenges and opportunities posed by multiracial/multiethnic individuals in genetic counseling specifically. We discuss how conceptualizing diversity along discrete racial and ethnic lines perpetuates inequitable patient care and limits efforts to increase inclusion and belonging within genetic counseling. Moreover, we argue that ongoing efforts to mitigate racial inequity must actively challenge the paradigm of monoracial and monoethnic categories to accomplish their goal.

Prevalence and factors associated with the use of traditional medicine in individuals with hypercholesterolemia, hyperglycaemia, and arterial hypertension in Ecuador: results from a population-based study in two health districts.

While traditional medicine (TM) is employed by a significant portion of the global population for managing health issues, clinical guidelines and state recommendations often overlook this practice. The aim of this study was to describe the frequency of use of TM to control 3 metabolic risk factors (MRF): hypertension, hypercholesterolemia, and hyperglycaemia; and the sociodemographic, economic, and clinical characteristics associated with the use of TM. Cross-sectional descriptive study that analyses data obtained from a representative population survey in 2 health districts, one urban in the south of Quito and another in a forested rural area with diverse ethnic groups in Esmeraldas, Ecuador. We include 602 individuals with at least one MRF. We calculated the proportion of people reporting the regular use of TM (herbal or traditional remedy) to control their MRF and we assessed potential associations with sociodemographic, economic, and clinical characteristics with a multivariable logistic regression model. In two very different sociocultural contexts in Ecuador we found that use of TM to control MRF was frequent (39.4% in Esmeraldas, 31.1% in Quito), frequently in combination with CM. There is a notable percentage of people, 33.9% in Esmeraldas and 39.0% in Quito, who did not take any treatment for their MRF, and the remainder used CM alone. In both settings, an individual's education lever was significantly associated with TM use. Whereas in Quito individuals with higher education more frequently treated their MRF with TM (aOR 2.04, 95% CI 1.03-3.90), in the rural, hard-to-reach context of Esmeraldas, it was more frequent among people with no formal schooling (aOR: 3.76; 95%CI 1.59-8.88), as well as those of younger age (aOR by year: 0.97; 95% CI 0.95-0.99) and afro ethnicity (aOR: 2.13; 95%CI 1.02-4.45). Traditional medicine is used by a significant proportion of the population in Ecuador, highlighting the need for a more accessible and intercultural healthcare approach. The health system should ensure access to the necessary information and resources for the management of their metabolic risk factors.