Consumption Patterns Research Articles

The Influence of Behavioral and ESG Drivers on Consumer Intentions for Online Fashion Renting: A Pathway Toward Sustainable Consumption in China’s Fashion Industry

As the fashion industry faces increasing scrutiny over its environmental impact, collaborative consumption models such as online fashion renting offer potential solutions for fostering sustainability. This study examines the role of environmental, social, and governance (ESG) factors alongside behavioral drivers in shaping consumer intentions toward online fashion renting in China, a model of collaborative consumption that contributes to sustainability by reducing new product demand and promoting the reuse of fashion items. The data was gathered from 403 Chinese customers using a standardized questionnaire. Structural equation modeling (SEM) was used to examine the given study hypotheses. The current study empirically demonstrates that customers’ attitudes, past sustainable behavior, and subjective norms are significant indicators of consumers’ intentions toward online fashion renting. The results further indicate that relative advantage, compatibility, perceived ownership, psychological risk, green self-identity, and experience value are the key drivers of consumers’ attitudes toward online fashion renting. Additionally, the ESG factors were found to have a significant positive impact on consumer attitudes toward online fashion renting, underscoring their importance in driving sustainable consumption patterns. By integrating behavioral and ESG perspectives, the study contributes to the growing discourse on how sustainable consumption patterns can be encouraged within the fashion industry, offering theoretical and managerial implications for fostering sustainable behavior. Directions for future research are also suggested.

Likely Response to a Hypothetical Menthol Cigarette Ban Among Adults with Mood Disorders Who Smoke Menthol Cigarettes and Have No Current Plans to Quit Smoking

Background: There is limited evidence on how the United States Food and Drug Administration’s (FDA) proposed ban on menthol cigarettes and flavored cigars will impact individuals with mood disorders who smoke menthol cigarettes. This study aimed to evaluate how individuals with mood disorders who smoke menthol cigarettes might respond to a hypothetical ban on menthol cigarettes, explore the reasons for their current use, and examine how these reasons are associated with participants’ characteristics. Methods: Study data were collected at baseline from adults (18+ years) with mood disorders who participated in a randomized controlled trial evaluating the impact of gradual nicotine reduction. Participants were individuals who smoked and had no plan to quit in the next six months. They reported demographics and tobacco consumption patterns, interest in quitting, and responded to a hypothetical question on a potential ban on menthol cigarettes. The question asked participants which actions they would most likely take if menthol-flavored cigarettes were banned. Means and frequencies were used to describe the sample. Logistic regression was used to determine factors associated with each reason for menthol use (less harmful, better flavor, less harsh on the throat, and less harsh on the chest). Results: Participants (n = 77) were an average age of 42.5 (SD 12.5) years, 61% (n = 47) were female, 68.8% (n = 53) identified as White, and 5.2% (n = 4) identified as Hispanic. On average, participants reported currently smoking 18.1 (SD 9.9) cigarettes per day and had smoked for 23.9 (SD 13.6) years. About 58.4% of participants (n = 45) expressed their intention to switch to non-menthol cigarettes, 19.5% (n = 15) intended to transition to a different type of tobacco product, and 22.1% (n = 17) intended to quit smoking entirely without substitution. The most endorsed reason for using menthol cigarettes was better flavor (89.6%, n = 69/77), followed by less harshness on the throat (41.3%, n = 31/75) and chest (40%, n = 30/75), and the belief that they were less harmful than non-menthol cigarettes (24%, n = 18/75). Older age was associated with the belief that menthol cigarettes were less harmful (OR = 1.06; p = 0.02). Conclusion: Among individuals with mood disorders and who smoke menthol cigarettes and have no plans to quit smoking, 22.1% may try to quit smoking if a menthol ban is implemented, while the majority (58.4%) stated that they would switch to non-menthol cigarettes. As the reasons for using menthol cigarettes included perceived lower harm, there is a need for targeted public awareness campaigns to correct misconceptions about the harms of menthol cigarettes.

Quantity of delta-9-tetrahydrocannabinol consumption and cannabis use disorder among daily cannabis consumers.

Amid escalating cannabis legalization and daily consumption in the United States (US), determining the risk of cannabis use disorder (CUD) and relevant consequences among daily consumers has become a public health priority. Understanding these risks requires valid assessment of the daily quantity of delta-9-tetrahydrocannabinol (THC) consumed and its relation to consequences. This study characterized daily cannabis consumption using a new method for estimating milligrams of THC (mgTHC), and examined the relationship between daily mgTHC and CUD severity in a large national sample of daily consumers. US adult (aged 18+ years) daily cannabis consumers (n = 4134) completed a comprehensive online survey of cannabis consumption patterns (e.g. frequency, quantity, product types, potencies, administration methods) and Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) CUD criteria. The primary exposure was past-week daily mgTHC consumption, calculated from survey responses to queries about product type, amount and potency consumed and including adjustments for puff size and loss of THC from specific methods of administration. The primary outcomes were (1) number of CUD criteria (range = 0-11) and (2) CUD severity categories: none, mild, moderate, severe. Median daily consumption was ~130 mgTHC, with substantial variability (25% ≤ 50 mg and 25% ≥ 290 mg). On average, participants endorsed 2.5 CUD criteria, and 65% met criteria for CUD (39% mild, 18% moderate, 8% severe). Greater daily mgTHC predicted higher CUD criteria count [betalog(mgTHC) = 0.50, 95% confidence interval (CI) = 0.267-0.734] and higher odds of mild [log odds ratio (logOR) = 0.238, 95% CI = 0.184-0.292], moderate (logOR = 0.303, 95% CI = 0.232-0.374) or severe (logOR = 0.335, 95% CI = 0.236-0.435) CUD. Among daily consumers of cannabis, there appears to be a positive relationship between the daily quantity of cannabis consumed (measured in milligrams of delta-9-tetrahydrocannabinol) and both the risk and severity of cannabis use disorder.

Examining the Impact of Digital Inclusive Finance on Urban and Rural Consumption Patterns: Insights from China Household Finance Survey in 11 Coastal Regions

Examining the Impact of Digital Inclusive Finance on Urban and Rural Consumption Patterns: Insights from China Household Finance Survey in 11 Coastal Regions

Antimicrobial Prescribing Patterns in GP Practices in Northern Ireland

Introduction: Antimicrobial resistance (AMR) is a global health threat requiring immediate attention as it is set to cause ten million deaths worldwide by 2050, overtaking that of cancer. Continuation of overuse and/or misuse of these crucial medicines will prevent future generations from reaping the benefits, as the pandemic of AMR spirals out of control. Aims: The primary aim of this study was to investigate antimicrobial prescribing patterns in General Practices throughout Northern Ireland. A secondary aim was to analyse the impact of the COVID-19 pandemic on antimicrobial prescribing and consumption patterns in GP practices in Northern Ireland. Methods: A retrospective, cross-sectional quantitative study was designed to measure, analyse, and evaluate the antimicrobial prescribing patterns within GP practices in Northern Ireland, using open access Business Services Organisation (BSO) data. Results: A total of 3,168.78 kg of antibacterial drugs were prescribed in primary care throughout the duration of the study. Penicillins were the most prescribed class (59.79%), followed by tetracyclines (10.68%) and macrolides (9.53%). Access group antibiotics were the most frequently prescribed (79.35%), followed by Watch group antibiotics (20.64%), with Reserve group antibiotics equating to nearly 0% despite being prescribed. The Derry GP Federation prescribed and dispensed the greatest amount of antibiotics overall in Northern Ireland (10.90%). Despite there being no significant difference in antibiotic prescribing amongst GP federations prior to and during the COVID-19 pandemic (unpaired t-test, p > 0.05), there were differences in prescribing of individual drug classes throughout this period. Conclusions: Despite meeting World Health Organisation (WHO) targets, GP practices within Northern Ireland must achieve more to further reduce antimicrobial consumption. Although antibiotic prescribing rates here are on the decline, there was no significant difference in prescribing amongst GP federations pre- and midst-COVID-19 pandemic, thus sufficient strategies such as increased communication between colleagues and supportive measures must be implemented within GP practices to enhance antimicrobial stewardship (AMS) across Northern Ireland.

Patrones ganaderos e inferencias culturales en la ciudad islámica de Qartayanna (Cartagena, España)

This paper presents the results of the faunal analysis of the bone remains recovered in the Islamic suburb located on the Roman theater of Cartagena (Murcia), with a broad chronological overview (ss. X-XIII). Thanks to the analysis of 6,940 bone elements recovered in dumps associated with houses, the consumption patterns and livestock strategies of a city that is recovering its importance from the 10th century, within the Islamic orbit, are inferred, which will leave a mark on consumption patterns associated with identity and cultural issues. In this way, the progressive loss of the ruralized image of the previous period (Byzantine era) is observed and progress is made towards a market economy typical of a big city. This work emphasizes the potential of archaeofaunistic studies to determine cultural issues.

Logistic Regression Model on Nutritional Status Based on Body Mass Index (BMI) in Women of Reproductive Age (WRA) in Indonesia

The aggregate analysis of Riskesdas data in Indonesia revealed that nearly all provinces face a serious double burden of malnutrition. Both undernutrition and overnutrition negatively affect the quality of human resources, especially when they occur in adolescent girls, Women of Reproductive Age (WRA), and pregnant and breastfeeding women, as this can lead to intergenerational nutritional problems. Body Mass Index (BMI) is a nutritional status measurement technique recommended by WHO. Nutritional problems occur when BMI is abnormal or not ideal, categorized as underweight (<18.5 kg/m²), pre-obesity (25-29.9 kg/m²), obesity class I (30-34.9 kg/m²), obesity class II (35-39.9 kg/m²), and obesity class III (>40 kg/m²). Data from laboratory results completed up to 2017, based on selected samples from the 2013 Basic Health Research (Riskesdas), were used to assess the nutritional status of the Indonesian population. This study used 9,418 respondent data samples from 33 provinces in Indonesia. Logistic regression analysis was applied because the response variable in this study is binary, representing ideal BMI (1) and non-ideal BMI (0). The independent variables used in this study include Hemoglobin level, Ferritin level, CRP level, age group, physical activity, living location, marital status, education, and risky food consumption patterns. All independent variables are categorical. The study found that the factors influencing nutritional status based on BMI in WRA are Hemoglobin level, Ferritin level, CRP level, age, and location. The resulting logit model is logit (π)=0.27695-0.1491 (Non-anemic Hemoglobin level)-0.1721 (Normal Ferritin level)+0.741 (Non-infectious CRP level)-0.2933 (Adult age group)-0.0976 (rural location). logit (π)=0.27695-0.1491 (Non-anemic Hemoglobin level)-0.1721 (Normal Ferritin level)+0.741 (Non-infectious CRP level)-0.2933 (Adult age group)-0.0976 (rural location). The largest odds ratio The largest odds ratio was produced by the CRP level variable, indicating that CRP level is the most influential factor affecting nutritional status based on BMI in WRA, where non infectious CRP compared to infectious CRP increases the likelihood of WRA having an ideal BMI.

Dynamic Wood Consumption Forecast in Germany from 2020 to 2050

Against the backdrop of pressing environmental challenges such as global warming, nations are intensifying efforts to reduce energy consumption and emissions in the future. The carbon-neutral attribute of wood is being reassessed, signaling a potential shift in consumption patterns. This study aims to forecast wood consumption in Germany from 2020 to 2050 and evaluate the ability of domestic forests to meet demand. Employing a material flow analysis approach and considering recent data alongside Germany’s Climate Action 2050 goals, consumption projections were made for sectors such as building, paper, energy, furniture, and packaging. Results indicate a significant surge in wood consumption, particularly in the scenario with a high residential renovation rate, necessitating substantial wood imports to fulfill demand. Energy and building emerge as pivotal sectors for reducing wood consumption. This research fills a gap in prospective prediction on wood consumption, which is essential for aligning strategies with environmental objectives.

Socio-Demographic Influences on Dietary Habits and Nutritional Awareness: A Case Study of Polish Biathlon Association National Team Members

Introduction: This study investigated the influence of sociodemographic factors on the dietary habits of athletes of the Polish Biathlon Association. Focusing on age, education, employment status, and gender, this research assesses food choices, meal preparation, and nutritional awareness within a structured sports environment. A cross-sectional survey of 54 athletes was conducted using a modified “Eating Habits of Poles” questionnaire to explore food selection, preparation methods, consumption patterns, and nutritional perspectives. This focus on biathletes emphasizes their distinct dietary needs, which arise from the demanding combination of endurance and precision in their sport, providing valuable insights for tailored dietary strategies to enhance their performance and overall health. Results: The results indicate that age, education, and employment status significantly influence Polish biathletes’ dietary habits and nutritional awareness. Older athletes (under 23 years) demonstrated significantly higher nutritional awareness regarding modern dietary trends (p = 0.015). In contrast, 50% of higher-education athletes were more engaged in meal planning and healthier food choices than those with elementary education (p = 0.031). Employment status also played a role; 70% of the athletes were students who exhibited more convenience-based food choices, whereas 30% were employed and maintained more structured eating patterns (p = 0.008). Minimal gender differences were found, with 50% of male and 50% of female athletes showing similar dietary habits, likely due to standardized nutrition programs provided to all athletes. Conclusions: This indicates a potential need for further research to determine whether professional dietary support can effectively address typical gender-related variations in food behavior and lead to improvements in dietary outcomes. This study highlights the importance of targeted nutrition education and professional support for optimizing the nutritional habits of professional athletes. This emphasizes that socio-demographic factors such as age, education, and employment status significantly shape these behaviors, underscoring the need for personalized nutritional strategies within athletic programs.

Patterns of household electricity consumption in Norway as a function of psychological factors, socio-economic constellations and access to electric appliances

To explore the complexity of household living conditions and their relation to electricity consumption, the socio-technical constellations they create for themselves and the perceived ease of saving electricity, we conducted a clustering analysis to categorise Norwegian participants in an electricity-saving programme based on environmental concerns, personal norms and socio-economic parameters. We also explored if the household clusters differed in perceived risk of energy poverty. A sample of 1,135 Norwegians participated in the study in 2023. A two-step cluster analysis resulted in five distinct clusters which we named: (1) older couples with moderate environmental concern; (2) eco-ease in midlife; (3) middle-aged females in medium-sized households; (4) growing families with moderate concerns; and (5) moderate advocates with adolescents. Analysis of variance indicated significant variations in mean scores of environmental concerns, access to energy appliances and perceived behavioural control implement energy-saving tips across clusters (p<0.01), but no difference in perceived risk of energy poverty. The results show that changes in the living situation, especially children moving out, seems to have strong effects on per capita electricity consumption, if the housing infrastructure is not adapted to the new family size. Lower environmental concern particularly impacts electricity consumption negatively in the time after children leave the household, and the same can be concluded for gender roles with females being more motivated to save electricity. Based on these results we recommend to more actively support these transitions of living situations, but also support existing sustainable energy use practices or connect electricity saving to other motivations (like supply security) for clusters where environmental concern is low.

Enhancing and Explaining Energy Management in Smart Manufacturing Production via ML Within the Context of Industry 4.0

Objectives: This study aims to explore the integration of big data and machine learning to enhance energy efficiency in manufacturing, focusing on the opportunities presented by Industry 4.0 and cyber-physical production systems. Theoretical Framework: The research leverages supervised learning techniques to analyze and predict machine-specific energy consumption patterns, utilizing energy disaggregation as a foundational concept. Method: Various machine learning algorithms, including Lasso regression, Linear regression, and Decision Tree, will be employed to develop predictive models for energy usage. Additionally, Explainable Machine Learning (XML) techniques will be utilized to ensure interpretability and clarity in the prediction outcomes. Results and Discussion: The proposed framework aims to elucidate the relationship between equipment utility and energy consumption, providing comprehensible explanations that enhance decision-making processes within intelligent industrial environments. Research Implications: This work highlights the significant potential of XML in transforming machine learning applications in manufacturing, paving the way for improved energy efficiency and operational effectiveness. Originality/Value: The introduction of an innovative framework that combines machine learning with explainability in the context of energy consumption marks a valuable contribution to the fields of manufacturing and sustainable industry practices.

Evaluating Energy Consumption in Residential Buildings in Qatar: A Case Study on Compounds

The global urgency to cut carbon emissions and pollution is clear. Qatar, rich in fossil fuels, is shifting towards sustainability to reduce carbon emissions. This paper analyzes the energy consumption patterns in residential buildings in Qatar, categorizing them by size and ownership, and establishing energy benchmarks for each building type, offering insights to guide energy efficiency policies. By examining the building size and ownership, the study helps establish benchmarks, supporting Qatar’s sustainability goals in reducing carbon emissions. The study was conducted from 1 January 2019 to 31 December 2021, utilizing data from the Qatar General Electricity and Water Corporation (KAHRAMAA). A total of 172,796 residential buildings were analyzed, with data on building characteristics and demographic information incorporated into the analysis. A quantitative analysis revealed that the building size, ownership, and demographics significantly impact energy consumption, guiding efficiency strategies. The ownership and floor area significantly impact energy consumption. A strong positive correlation (R = 0.97) was found between energy consumption (kWh) and the total built area (m2). The patterns of energy use varied across different residential building types. The findings highlight the importance of considering the ownership and building size in energy efficiency policies. Identifying specific energy use patterns supports the development of targeted strategies. This research offers valuable data on residential energy consumption in Qatar, providing a foundation for energy benchmarks. These benchmarks can guide policy decisions and strategies to enhance energy efficiency and promote sustainability in the residential sector. This study uniquely connects the ownership and building size with energy consumption patterns in Qatar, supporting the development of effective energy policies and contributing to global sustainability goals.

Analisis Dampak Inflasi Terhadap Daya Beli Konsumen dalam Konteks Ekonomi

This study analyzes the impact of inflation on consumer purchasing power in Indonesia, focusing on low-income communities and micro, small, and medium enterprises (MSMEs). Using a descriptive qualitative method, data were collected through in-depth interviews and field observations. The results show that inflation has a significant effect on daily consumption patterns and the quality of life, particularly in meeting basic needs. Moreover, the increase in essential goods prices has triggered social instability in several regions. This study also evaluates government policies in mitigating the impact of inflation and provides recommendations to protect the most vulnerable groups from rising prices. The findings suggest that although fiscal and monetary policies have short-term positive effects, more comprehensive measures are needed for the long term.

Pengaruh E-Commerce Terhadap Pola Pengeluaran Keuangan di Era Ekonomi Digital

This research uses quantitative methods which aim to analyze the impact of trade on financial expenditure patterns in the digital economy era. Does e-commerce have an influence or not on financial spending patterns in the digital economy era? This data analysis technique involves distributing questionnaires via Google Form on social media, namely WhatsApp, which is used to collect data. The research results show that e-commerce has a better influence on financial spending patterns.

The reflection of generation Z of leisure practices in Chinese audiovisual media: An analysis based on the YouTube platform

This study explores the reflection of Generation Z leisure culture in Chinese audiovisual media, with a focus on the YouTube platform. As China’s Generation Z becomes a key demographic in shaping digital and media consumption patterns, their leisure practices reflect a unique fusion of local and global influences. Through an analysis of content on YouTube, this research examines how audiovisual media portrays the leisure activities of Chinese Generation Z, including entertainment, social interaction, and self-expression. By investigating the cultural narratives and visual strategies used to engage this generation, the study reveals how YouTube serves as a platform for identity formation, a strong sense of national identity, and pride in Chinese traditional culture among Chinese Gen Z audiences. The findings contribute to understanding the broader impact of digital platforms on leisure habits and media discourse in contemporary China, highlighting the transformative role of audiovisual media in shaping youth culture. It also plays a significant cultural education function, enhancing the positive perception of Chinese culture on the international stage and elevating China's image.

Does escaping the multidimensional poverty line improve family food security? Evidence from rural Vietnam

BackgroundReducing poverty and ensuring food security are critical sustainable development goals for countries like Vietnam. However, research investigating the relationship between these goals remains limited. This study seeks to explore the correlation between poverty alleviation and food security in Vietnam's rural areas, offering insights for policymakers to address both objectives simultaneously.MethodsWe applied Vietnam's multidimensional poverty standard to determine if households classified as poor in 2016 had managed to escape poverty by 2018. We utilized the Household Dietary Diversity Score (HDDS) and per capita food expenditure to examine the consumption patterns and food security levels within these households. Panel data encompassing 407 low-income households, gathered from the 2016 and 2018 Vietnam Access to Resources Household Survey (VARHS), constituted the dataset for this study.ResultsAmong the 407 impoverished households in 2016, 244 achieved poverty alleviation by 2018. Their average monthly per capita income increased by 416.9 thousand Vietnamese Dong (17.8 USD) during this period, with wage income contributing significantly, rising by approximately 315.9 thousand Vietnamese Dong (13.4 USD) per person. Regression analysis reveals that as households escaped the multidimensional poverty line, they diversified food consumption and increased per capita food expenditure. However, the household dietary diversity score only increased by 0.166. Meanwhile, monthly per capita food expenditure surged by 85,600 Vietnamese Dong (3.63 USD) per person.Conclusions and policy recommendationsImplementing poverty eradication policies could achieve both poverty reduction and improved food security. Policymakers should focus on creating stable wage employment for poor households, as this income source significantly aids in poverty alleviation.

Dietary partitioning of fishers and martens in a rapidly changing landscape

Niche partitioning is critical for the stable coexistence of competing species that share limited resources. Yet, niches are dynamic, especially in the face of rapid environmental change. Carnivores exhibit particularly strong forms of competition and are differentially affected by change. Fishers (Pekania pennanti) and martens (Martes caurina) are two species of carnivores that overlap in space, time, and resources. In the Sierra Nevada of California, these two species share habitats that are undergoing a sudden restructuring due to drought and the subsequent mortality of more than half of all trees. Using a long-term dataset from across the affected region of the Sierra Nevada, we quantified the diet, as well as dietary niche overlap and niche shift of fishers and martens during summer months before, during, and after these disturbances and as a function of spatial overlap. The summer diet of fishers and martens did not appear to be affected by change in live forest canopy and tree mortality. While fisher diet was unaffected by elevation, martens exhibited an increasing reliance on vertebrate prey at higher elevations. Our results suggest that during summer months the diet of fishers is highly diverse, even including fungi and insects, but the diet of martens is less diverse and more reliant on vertebrate prey. These different consumption patterns — which were largely unaffected by changing environmental conditions, except elevation — have led to unexpectedly low overlap in trophic niche space during the timeframe measured. Our findings demonstrate that the coexistence of martens and fishers regionally is likely facilitated, in part, through partitioning along the trophic niche axis. If drought conditions persist and lead to continued or increasingly reduced snowpack and altered vegetation, future research should assess how niche partitioning of fishers, martens, and other members of the broader carnivore community will endure.

Trends and patterns of antimicrobial consumption at Benjamin Mkapa Zonal Referral Hospital, Dodoma, Tanzania: a cross-sectional retrospective analysis

ObjectiveThis study assessed the trends and patterns of antimicrobial consumption (AMC) from 2020 to 2021, 2021–2022 and 2022–2023 at the Benjamin Mkapa Zonal Referral Hospital (BMH) in Dodoma, Tanzania.DesignA retrospective cross-sectional study was conducted to collect AMC data for three financial years with respective denominators. The data were computed using the AMC Tool 2019 v1.9.0 and defined daily dose per 1000 inhabitants per day (DID).SettingThe BMH, Dodoma, Tanzania.ParticipantsThis study surveyed quantities of antimicrobials procured at the BMH. It did not have any human participants.Outcome measuresAMC was quantified in DID. The comparisons were made based on the DID of all surveyed antimicrobials, taking into account oral and parenteral administration and based on pharmacological classes. Further, DIDs were presented based on the 2023 WHO Access (A), Watch (W) and Reserve (R) (AWaRe) classification.ResultsIn 29 assessed antimicrobials, the DIDs for 2020–2021, 2021–2022 and 2022–2023 were 3.0852, 3.5892 and 3.9213, respectively. The average DID per year was 3.5319, with a mean of 2.4207±1.9765 DID per year. The topmost consumed antimicrobials over the 3 years (doxycycline, azithromycin, amoxicillin/beta-lactamase inhibitors, ampicillin/cloxacillin, amoxicillin/flucloxacillin, ceftriaxone, nitrofurantoin and clarithromycin) account over 90% of consumption. The most highly consumed therapeutic classes were beta-lactam antibacterial penicillins (34.71%), macrolides, lincosamides, streptogramins and others (25.75%), followed by tetracycline (23.88%). The AWaRe categorisation and antimicrobials not recommended (ANR) distribution were as follows: Access-51.61%, Watch-31.96%, Reserve-0.00%, and ANR-16.43%, respectively.ConclusionFor every 1000 patients attending the BMH per day, our study found 2.4207±1.9765 DIDs of an antimicrobial were consumed. The most consumed antimicrobials include doxycycline, azithromycin, amoxicillin/beta-lactamase inhibitor, ceftriaxone and metronidazole. To combat antimicrobial resistance effectively, it is imperative to institute a hospital policy for antimicrobial stewardship that prioritises the utilisation of a hospital formulary and antibiograms for the procurement of antimicrobials at the BMH.

Dietary supplement consumption and associated factors among Algerian population residing in Tebessa: Cross-sectional survey

ObjectiveThis study aimed to assess the prevalence of dietary supplement consumption among Algerians in Tebessa. Materials and methodsThis was a descriptive cross-sectional survey carried out over two months. The study included 216 Algerian men and women selected via simple random sampling. Approximately half of the participants were under 27 years old, with a mean age of 30 years. Variables assessed included the use of dietary supplements, reasons for consumption, frequency of use, types of supplements used, sources of purchase, and sources of advice regarding consumption. Continuous and categorical variables were compared using the Mann–Whitney test and Chi2 test, respectively. Logistic regression was employed to examine associations between dietary supplement consumption and explanatory variables, including socioeconomic factors. ResultsThe prevalence of dietary supplement use was 88.4%. The most common reasons cited for consumption were muscle mass enhancement and fatigue reduction. Vitamins were the most frequently used supplements, followed by trace elements. Consumption patterns were significantly associated with socioeconomic factors. ConclusionsA large part of the population has consumed food supplements for different reasons. This consumption could be beneficial for their health. Therefore, information-based on scientific evidence is important to prevent inappropriate use of dietary supplements by consumers. This study could serve as the foundation for a nationwide multicenter study to gain a better understanding of dietary supplement use among Algerians.

Precision Prediction of Household Electricity Consumption Through Data- Driven Model

An effective strategy for managing energy and sustainability is the accurate forecasting of household electricity consumption. A new challenge arises in consumption patterns for traditional models, which face difficulties in variability and data variety. This study aims to bridge the gap by proposing a novel technique called the Mountain Gazelle optimizer-driven Malleable Random Forest technique (MG-MRF), for improving electricity consumption prediction. This has enabled MG-MRF to model different consumption patterns as well as manage variability in the data. The study collected extensive datasets from different households, and those datasets had to undergo preprocessing to ensure integrity. Evaluation results of the approach further underscore the potential of MG-MRF to give accurate and dependable predictions, consequently allowing informed decision-making for the consumption of energy. The proposed method outperformed the traditional models with a prediction accuracy of 98.2%, precision of 94%, recall of 90%, and an f1-score of 92%. This study emphasizes the importance of adaptive modeling techniques in understanding and predicting household electricity usage, enabling the development of more effective energy management strategies. The experimental results advocate and contribute to sustainable energy practices by raising consumer awareness regarding their electrical consumption.