Productivity Costs Research Articles

Cost effectiveness of preemptive school closures to mitigate pandemic influenza outbreaks of differing severity in the United States

BackgroundNonpharmaceutical interventions (NPIs) may be considered as part of national pandemic preparedness as a first line defense against influenza pandemics. Preemptive school closures (PSCs) are an NPI reserved for severe pandemics and are highly effective in slowing influenza spread but have unintended consequences.MethodsWe used results of simulated PSC impacts for a 1957-like pandemic (i.e., an influenza pandemic with a high case fatality rate) to estimate population health impacts and quantify PSC costs at the national level using three geographical scales, four closure durations, and three dismissal decision criteria (i.e., the number of cases detected to trigger closures). At the Chicago regional level, we also used results from simulated 1957-like, 1968-like, and 2009-like pandemics. Our net estimated economic impacts resulted from educational productivity costs plus loss of income associated with providing childcare during closures after netting out productivity gains from averted influenza illness based on the number of cases and deaths for each mitigation strategy.ResultsFor the 1957-like, national-level model, estimated net PSC costs and averted cases ranged from $7.5 billion (2016 USD) averting 14.5 million cases for two-week, community-level closures to $97 billion averting 47 million cases for 12-week, county-level closures. We found that 2-week school-by-school PSCs had the lowest cost per discounted life-year gained compared to county-wide or school district–wide closures for both the national and Chicago regional-level analyses of all pandemics. The feasibility of spatiotemporally precise triggering is questionable for most locales. Theoretically, this would be an attractive early option to allow more time to assess transmissibility and severity of a novel influenza virus. However, we also found that county-wide PSCs of longer durations (8 to 12 weeks) could avert the most cases (31–47 million) and deaths (105,000–156,000); however, the net cost would be considerably greater ($88-$103 billion net of averted illness costs) for the national-level, 1957-like analysis.ConclusionsWe found that the net costs per death averted ($180,000-$4.2 million) for the national-level, 1957-like scenarios were generally less than the range of values recommended for regulatory impact analyses ($4.6 to 15.0 million). This suggests that the economic benefits of national-level PSC strategies could exceed the costs of these interventions during future pandemics with highly transmissible strains with high case fatality rates. In contrast, the PSC outcomes for regional models of the 1968-like and 2009-like pandemics were less likely to be cost effective; more targeted and shorter duration closures would be recommended for these pandemics.

Sustainable and clean water distillation by parabolic dish collector and different heat absorber and thermal storage materials: An experimental study

In this study, an integrated solar distillation unit with a parabolic dish collector and a spherical solar water distillation unit is designed. The use of parabolic dish collector increases the evaporation rate of the saltwater in the lower chamber (basin) of the spherical distillation unit considerably. The performance of solar water distillation system is investigated for different types of basin material, including copper, zinc, and iron. In the second part, the gravel is used in the copper basin of solar distillation system as the thermal energy storage material. The thermal efficiency, water productivity, exergy efficiency, and freshwater production cost of the integrated solar distillation system with different types of basin materials are studied. The thermal efficiency of the integrated solar distillation system with the copper, zinc, and iron basins was 13.97 %, 10.72 %, and 9.88 %%, respectively. The water productivity of the integrated solar distillation system with copper, zinc, and iron basins was 2.592 kg, 2.27 kg, and 1.825 kg, respectively during 9 h of experiment. The exergy efficiency of the integrated solar distillation system with the copper basin was better than the zinc and iron basins. The gravel can increase the productivity of solar distillation system up to three times in the sunset and night hours.

Evaluation of physical and mental health conditions related to employees' absenteeism.

Employees' health conditions are issues for not only employees themselves but also companies and society to keep medical costs low and productivity high. In this analysis, 15,574 observations from 2,319 employees at four operational sites of a large corporation were used. The dataset contained physical and mental health conditions obtained from annual mandatory medical checkups, the Brief Job Stress Questionnaire (BJSQ), and work record information. Health and other factors related to long-term absenteeism (over three days in a quarter) were analyzed. Data were collected between February 2021 and January 2022, and we converted into quarterly observations. A logit (logistic regression) model was used in the analysis. Age and gender were identified as important basic characteristics. The estimates for these variables were positive and negative and significant at the 1% level. Among the variables obtained from the medical checkups, the estimates for diastolic blood pressure, HbA1c, anamnesis, heart disease history, smoking, increased weight, and frequency of alcohol consumption were positive and significant at the 1% level, further those for taking antihypertensive medications and kidney disease history were positive and significant at the 5% level. In contrast, the estimates for systolic blood pressure and amount of alcohol consumption were negative and significant at the 1% level. The estimate for taking antihyperglycemic medications and health guidelines were negative and significant at the 5% level. Among the variables obtained from the BJSQ, the estimates for amount of work felt, fatigue and support from family and friends were positive and significant at the 1%, and the estimate for irritation was positive and significant at the 5% level. The estimates for controlling job and physical complaints were negative and significant at the 1% level, and those for usage of employee's ability to work and suitability of the work were negative and significant at the 5% level. As all four operational sites were located in the northeastern region of Japan (cold and snowy in winter), the seasonal effects were significant at the 1% level. The effect of year was also significant and significant differences were observed among the sites at the 1% level. Some physical and mental health conditions were strongly associated with long-term absenteeism. By improving these conditions, corporations could reduce the number of employee absence days. As absenteeism was costly for corporations due to replacement employees and their training costs to maintain operations, employers must be concerned about rising healthcare (direct and indirect) costs and implement investments to improve employees' health conditions. This study's results were based on only one corporation and the dataset was observatory. The employees were primarily operators working inside the building and most of them are healthy. Therefore, the sample selection biases might exist, and the results cannot be generalized to other types of jobs, working conditions, or companies. As medical checkups and the BJSQ are mandatory for most companies in Japan, the framework of this study can be applied to other companies. Although we used the BJSQ results, better mental measures might exist. Similar analyses for different corporations are necessary.

The efficacy of employee strengths interventions on desirable workplace outcomes

AbstractRecent data suggest that only about one-third of employees thrive at work, while most are disengaged. This lack of employee productivity costs U.S. companies billions of dollars annually. Consequently, there is great interest in workplace interventions designed to increase employee performance and engagement. Strengths interventions are one such approach because there is evidence that when employees can identify, use, and develop their strengths at work, it is associated with a range of desirable outcomes. Still, there is a need for experimental research that facilitates causal analysis and the development of reliable strengths interventions that can be applied in organizations. Two longitudinal studies examined the impact of different strengths interventions. The first study tested a 2-week intervention measuring the impact on strengths use, job performance, and flourishing at work. Only job performance improved significantly over time. The second study deployed a 4-week intervention measuring the impact on strengths use, job performance, organizational citizenship behavior (OCB), and engagement, with significant increases in all variables over time. Post hoc analyses indicated that results might have been influenced by the extent to which strengths use changed. If strengths use declined, there were no significant outcomes. However, when strengths use increased, there was a significant improvement in job performance with a large effect size and OCB and engagement with very large effect sizes. These findings suggest strengths interventions can lead to favorable workplace outcomes, though levels of strengths use might impact results. Limitations and future areas of research are discussed.

The Necessity for Precise Estimation: Formulating a Malaysian Labour and Plant Constant for Construction Productivity

The Malaysian construction industry plays a vital role in driving economic growth and infrastructure development. However, the sector faces significant challenges in achieving accurate productivity measurement and cost estimation due to its reliance on foreign-based Labour and Plant Constants. These metrics, often misaligned with local conditions, lead to budget overruns, project delays, Extension of Time (EOT) claims, and Variation Orders (VOs). The lack of a standardized approach to determine the optimal combination of labour, plant, and machinery further complicates resource allocation and project planning, ultimately affecting the industry’s overall efficiency and competitiveness. This paper emphasizes the urgent need to develop a Malaysian Labour and Plant Constant that reflects the unique conditions of the local construction environment, including labour skills, environmental factors, and machinery capabilities. Such localized constants will enhance cost estimation accuracy, improve resource management, reduce project delays, and foster sustainability in Malaysia’s construction sector. Additionally, this initiative would align the industry with global best practices, boosting its competitiveness both locally and internationally. Establishing a robust resource optimization methodology will improve cost estimates, reduce project delays, and enhance overall efficiency. This paper emphasizes the necessity for a Malaysian-specific approach to productivity measurement and cost estimation to boost the accuracy and reliability of tender evaluations, ultimately strengthening the competitiveness and sustainability of the Malaysian construction industry.

The utilization of AI in advancing green supply chain management focusing healthcare sector in Saudi Arabia

Artificial Intelligence (AI) is a notable developing technology and its applications have extended the benefits to almost all disciplines. The aim of this current research is to investigate the impact of Artificial Intelligence on Green Supply Chain Management (GSCM). This research explains the applications of AI in GSCM and illustrate, how the application of AI has opened new directions in future for GSCM and what are the challenges need to be addressed for its effective working. AI facilitates in reducing cost, automating, and increase in productivity and eventually achieving economies of scale in SCM. This research provides a development of an outline for the use of an AI based GSM for industries especially in the Healthcare sector (HST). For the purpose of the study we have applied Qualitative analysis and methods of data collection were workshop and interview with HST professionals and stakeholders in KSA. The results show that HST professional have good experience and gave 90 percent positive feedback for applying AI for GSCM in HST but Stakeholders for some situations have shown apprehension due to short term increment of cost in handing the GSCM and applications of sensors to automate the process but their responses were also 70 percent positive.

СОВЕРШЕНСТВОВАНИЕ ПУНКТА ТЕХНИЧЕСКОГО ОБСЛУЖИВАНИЯ

Motor vehicle fleet reliability and maintenance cost reducing are of top priority in the context of dynamically developing production and market relations. Service centers play the leading role in production efficiency and rolling stock operation since service center units provide quality and efficiency of work and predetermine labor productivity, maintenance and repair costs. Often in repair practice there are cases when springs with exceeding permissible deviations from stiffness standards are installed on a car. It may happen due to imperfection or lack of special control means. There springs disrupt elastic and damping properties of suspensions, increasing vibration impact on driver, passengers and transported cargo, and also may cause increased wear of chassis and breakage of springs. The goal of this work is to increase productivity and quality of repair work, as well as reduce operating costs by improving maintenance system and reducing downtime associated with failures.

Factors of sustainable development of labour productivity in capital repairs in the Russian Federation and the EU

For sustainable development of the Russian construction complex it is necessary to increase labour productivity. All research related to labour productivity is a topical task for companies and the state as a whole. In order to analyse the indicators of labour productivity efficiency in capital repairs, the data on the normative labour intensity of Germany and Austria, which occupy leading positions in terms of labour productivity per working hour of time, were analysed. This study considers the labour costs of construction workers involved in various technological processes in major repairs in Russia and EU countries. Also, in this work a comparative analysis of actual and normative indicators of labour productivity in Russia and EU countries is carried out. As a result of this work the result was obtained, showing the absence of stable correlation between labour inputs for a set of work processes. In connection with the obtained results, it was suggested that it is possible to identify stable relationships as a result of grouping technological processes by various parameters, which in turn will allow to identify the presence and levels of influence of assumed factors on productivity change for different countries. Labor productivity and labor costs are influenced by technological processes. major repairs.

Skillful Manipulation of Electronic Musical-Note-Type Instrument Using Industrial Humanoid Robot

Industrial robots contribute significantly to productivity improvements, quality improvements, and cost reductions at production sites. Among the industrial robots, those that can cooperate with humans without safety measures or output limitations on the motors of their axes are known as cooperative robots. In the manufacturing field, there is a growing demand for production lines where humans and robots can coexist and cooperate instead of those where robots perform all processes on their own. In this study, we focus on a cooperative robot fabricated using a 3D resin printer and aim to improve its operation using the same tools as humans. As an example of such an application, we attempt to develop a sound-feedback-based motion for manipulating an electronic musical instrument called an “otamatone”. First, the hardware for grasping the object is created using a 3D printer, and notes on the modeling process are described. We then construct an advanced sound feedback system using the Robot Operating System (ROS) to identify the sounding position and pitch of the instrument. In this study, we propose a partial model-matching method for determining the Proportional–Integral–Derivative (PID) gains of the servomotors of each joint of a robot. Consequently, the accuracy of the robot’s motion improves and the accuracy of the intended musical performance is enhanced.

Real-time target point identification and automated log grasping by a forwarder, using a single stereo camera for both object detection and boom-tip control

The forest industry is constantly striving to increase productivity and cut costs, and many research and innovation projects are currently focusing on semi-automated or autonomous systems. A key element, with several possible solutions, is automated log grasping, where researchers and manufacturers are looking for efficient and sturdy ways to solve the task in real-time forwarding operations. This study presents a simple method for automated log grasping using only a single stereo camera for object detection (log and grapple) and a simple controller moving the boom, with feedback from the camera as boom-tip control. The accuracy, precision, and repeatability of the method was tested on a full-scale forwarder. Boom movements were examined from two different start positions in relation to the target position, with the log placed at three different angles. The overall log-grasping success was also evaluated. The tests were performed in a full-scale, real-time operation, without hand-eye calibration or other sensor data from the machine. The method was precise, with high repeatability, but the grasping point showed a minor systematic offset, depending on log angle. However, the deviation in accuracy was too small to affect the success rate. In practice, the most difficult log angles can be avoided by moving the machine slightly. The log grasping method may become part of an autonomous forwarding system or could provide operator support in semi-automated systems.

Respectful Pruning Improves Grapevine Development: A Case Study in Young Vineyards

Grapevine pruning is an agronomical operation required to regulate growth and yield, improve fruit quality, and maintain plant health and vigour. However, the intensification of the crop in the last decades, driven by efforts to increase productivity and decrease costs, has led to reduced attention to this operation. The aim of this study was to investigate whether different pruning styles during the first years of vineyard training affect grapevine development. Three pruning styles were followed in a newly planted cv. “Tempranillo” vineyard for four consecutive pruning seasons: (i) respectful (RESP), where pruning cuts were always made leaving protection wood between the cut and vine perennial structures, and the preferential sap flow path was chosen; (ii) aggressive (AGGR), where no protection wood was left and, when possible, the nonpreferential sap flow path was followed; and (iii) winegrape grower (WIN), where the common practices used in the area were followed, which corresponds to an intermediate style between RESP and AGGR. In general, the RESP style increased the vegetative development compared to WIN and AGGR styles over the years and produced a higher yield in the first production year, although the intensity of the effect was not the same in the two vineyards considered. This was the first effort to systematically assess the effects of respectful pruning techniques on vine vegetative growth and demonstrate scientifically its impact.

Limitations for the Implementation of Artificial Intelligence in Construction Health and Safety in Ghana

Abstract Building accidents and fatalities are prevalent, especially in rising nations like Ghana, despite rapid technical developments. Weak regulations, training, and change resistance typically undermine traditional safety measures. This study aimed to identify potential obstacles that prevent the implementation of artificial intelligence (AI) in construction health and safety in Ghana. A survey research approach was employed to get the study population, which consisted of 110 construction experts made up of project managers, site engineers, skilled workers, and safety officers complete the questionnaire. Data analysis included descriptive statistics, chi-square, and regression. According to varied demographic responses, AI increases design and engineering, safety and security, and human resources efficiency, decision-making, and safety. Lack of innovation culture, training, and regulation harms health and safety. Using AI promises to overcome these hurdles by minimising risks, improving worker well-being, and safe work environment. The Ghanaian industry study focus and small sample size may prejudice, as the limitations of the study. Samples must be larger and more diversified to generalise. The practical implication is that Ghanaian builders may use the study’s findings. Understanding AI’s potential and limitations helps them develop AI solutions and problem-solving methodologies. Safety, cost, and worker well-being can improve. The successful integration of AI in construction health and safety can affect society. AI can reduce workplace accidents and improve productivity, well-being, and healthcare costs. This work adds to the growing body of knowledge on AI’s building safety applications in emerging economies like Ghana. It identifies environmental restrictions and enables governments, industry leaders, and researchers to develop and implement AI solutions.

Smart Manufacturing Using Embedded IoT, Data Mining, and Machine Learning

The Internet of Things (IoT) facilitates objects' connection to the Internet and data exchange. The IoT and Big- data analytics revolutionize the industrial sector by offering real-time data visualization, tracking, and building predictive models for future actions using machine learning. It helps make an operation process more efficient and provides insight into the production process, increasing productivity and lowering costs. The data from IoT devices can be mined and visualized through advanced analytics tools. Thus, manufacturers will have a comprehensive picture of the production processes. This paper uses Data Mining (DM), Big Data Analytics, and IoT to monitor operations and determine predictive models for applying actions in the manufacturing Industry.

تأثير زاوية الشفرة والسرعة الأمامية على أداء جزازة العشب MURRAY-15.5hp

A field experiment was conducted to design, implement, and test the effect of blade angle represented by cutting angle and foreword speed on the performance of a MURRAY-15.5hp lawn mower machine. Three types of blades with cutting angles of 20o, 25o, and a straight angle were used, as well as three forward speeds of 2.99, 4.32, and 5.60 km h-1. The slippage percentage, field productivity, material quantity and total costs were studied. The results indicated the following: decreasing the cutting angle from 25o to 20o and then to a straight angle considerably decreases the slippage percentage and a significant decrease in total costs .Also, a significant increase in the field and Material productivity. Increasing the foreword speed resulted in a significant increase in the slippage percentage and a significant increase in in the field and material productivity, and decrease in the total costs. The interaction between the straight blade type and the forward speed 2.99 km h-1 led to the lowest slippage at 8.34%, while the interaction between the straight blade type and forward speed 5.60 km h-1 resulted in the lowest total costs amounted to 12036 dinars*hectare-1 and the highest field productivity 0.360 ha h-1 while the highest material productivity was 121.25 kg h-1.

CONTROL SYSTEM FOR WATERJET CUTTING PROCESS WITH SWIRLING WORKING FLUID JET

In mechanical engineering, the procurement process is one of the most important in the life cycle stage of manufacturing products from metal materials. In this regard, there are disadvantages in the manufacture of parts: low productivity, complexity and high cost of cutting tools, and the impossibility of cutting. The work proposes an approach to increase the productivity of using the cutting properties of abrasive grains and expanding the contact area of a waterjet jet with the workpiece surface being processed by twisting the jet and adjusting the values of the jet oscillation frequency to the thickness of the workpiece. As a result of research verification, the approach showed good prediction accuracy.

Work efficiency and harvester costs in Brazilian eucalyptus plantations

ABSTRACT The awareness of machine productivity is essential when considering the management of mechanized forest harvesting costs, an important issue for sustainable economic planning, especially when considering the significant contribution of this activity to the total cost of timber production. The aim of the study was to evaluate the productivity and production costs of the harvester (cut-to-length system) according to the average volume per tree (AVT), in stands located in the northeast region of Brazil, which varied from 0.16 to 0.58 cubic meters without bark (m3 wb). We considered the commercial volume of wood in this assessment. The productivity of the harvester in stands with different characteristics, including small, medium and large trees, was evaluated. The time study method was employed to perform the technical analysis, which assisted in the calculation of productivity, mechanical availability and utilization rate. Regarding the economic analysis, the fixed and variable costs were evaluated. The results revealed an operating cost of USD 101.75 he−1 for the harvester, being 16.48% for fixed costs and 83.52% for variable costs. The costs of maintenance and repairs, labor, fuel and depreciation represented 84.42% of this total. The harvester showed a lower production cost for large trees (higher average volume per tree). Considerable machine efficiency reduction was observed in a low productivity forest, significantly increasing the costs per cubic meter harvested, varying from USD 2.56 m−3 (large trees) to USD 5.75 m−3 (small trees).

Disease burden of bacteraemia with extended-spectrum beta-lactamase-producing and carbapenem-resistant Enterobacterales in Korea

Despite the significant impact of multi-drug-resistant bacteraemia, especially extended-spectrum beta-lactamase-producing Enterobacterales (ESBL-E) and carbapenem-resistant Enterobacterales (CRE), the burden of disease has not been investigated thoroughly. To evaluate the clinical outcomes and socio-economic burden of ESBL-E and CRE bacteraemia nationwide in the Republic of Korea. A search was undertaken for all cases of ESBL-E and CRE bacteraemia and matched controls in 10 hospitals in the Republic of Korea over 6 months. Patients with ESBL-E or CRE bacteraemia were classified as the R group, and matched controls with antibiotic-susceptible bacteraemia and without infection were classified as the S and N groups, respectively. Patients' clinical data were collected, and the economic burden was estimated based on medical expenses, loss of productivity and total costs. In total, 795 patients were identified, including 265 patients with ESBL-E or CRE bacteraemia and their matched controls. The mean total length of stay for patients with ESBL-E and CRE in the R group was 1.53 and 1.90 times that of patients in the S group, respectively. The 90-day mortality rates for ESBL-E in the R and S groups were 12.1% and 5.6%, respectively, and the corresponding figures for CRE were 28.6% and 12.0%. There were significant differences in the total costs between the R, S and N groups for both ESBL-E and CRE (ESBL-E: $11,151 vs $8712 vs $6063, P=0.004; CRE: $40,464 vs $8748 vs $7279, P=0.024). The clinical and economic burden imposed by ESBL-E or CRE bacteraemia was extremely high. These findings suggest that efforts to control resistant bacteraemia are necessary to reduce this burden.

Changes in environmental and engineered conditions alter the plasma membrane lipidome of fractured shale bacteria.

Microorganisms inadvertently introduced into the shale reservoir during fracturing face multiple stressors including brine-level salinities and starvation. However, some anaerobic halotolerant bacteria adapt and persist for long periods of time. They produce hydrogen sulfide, which sours the reservoir and corrodes engineering infrastructure. In addition, they form biofilms on rock matrices, which decrease shale permeability and clog fracture networks. These reduce well productivity and increase extraction costs. Under stress, microbes remodel their plasma membrane to optimize its roles in protection and mediating cellular processes such as signaling, transport, and energy metabolism. Hence, by observing changes in the membrane lipidome of model shale bacteria, Halanaerobium congolense WG10, and mixed consortia enriched from produced fluids under varying subsurface conditions and growth modes, we provide insight that advances our knowledge of the fractured shale biosystem. We also offer data-driven recommendations for improving biocontrol efficacy and the efficiency of energy recovery from unconventional formations.

Outcome measures for use in trials of paediatric otorrhoea: A systematic review

IntroductionPaediatric otorrhoea (PO) describes a middle ear infection that results in a perforation of the tympanic membrane and ear discharge, in children and young people (CYP). Prolonged infection may be associated with hearing loss and developmental delay. The current management of paediatric otorrhoea is variable, including non-invasive treatments (conservative, oral antibiotics, topical antibiotics) and surgery, reflecting the lack of a sufficiently strong evidence base. Outcome reporting is fundamental to producing reliable and meaningful evidence to inform best practice. ObjectivesPrimary objective: to determine which outcome measures are currently used to evaluate treatment success in studies of non-surgical treatments for paediatric otorrhoea. Secondary objectives: to identify outcome measurement instruments used in the literature and assess their applicability for use in clinical trials of PO. MethodsThis systematic review was registered with PROSPERO (CRD42023407976). Database searches of EMBASE, MEDLINE and Cochrane was performed on June 6, 2023, covering from Jan 1995 to May 2023. Randomised controlled trials or study protocols involving CYP with PO were included following PRISMA guidelines. Risk of bias was assessed with Cochrane's tool. ResultsOf the 377 papers identified, six were included in the systematic review. The primary outcome of five of the studies related to otorrhoea cessation; both time to cessation and proportion recovered at various time points were used as measures. Two measurement instruments were identified: Otitis Media-6 Questionnaire and the Institute for Medical Technology Assessment Productivity Cost Questionnaire. Both were shown to be applicable measurement instruments when used in clinical trials of PO. ConclusionsTo promote homogeneity and facilitate meaningful comparison and combination of studies, we propose that time to cessation of otorrhoea from onset of otorrhoea should be used as the primary outcome in future studies. Further research is needed to establish if this is the most important outcome to children and their caregivers.

Economic costs associated with unhealthy weight control behaviors among Australian adolescents.

This study explored the relationship between unhealthy weight control behaviors (UWCBs) and their associated economic costs among adolescents using the 2014-2018 Longitudinal Study of Australian Children (LSAC). LSAC data in Wave 6 (n = 3538 adolescents aged 14-15 years), Wave 7 n = 3089 adolescents aged 16-17 years), and Wave 8 (n = 3037 adolescents aged 18-19 years) were derived from a representative sample of Australian adolescents. UWCBs were measured using the self-reported Branched Eating Disorder Test questionnaire. UWCBs were sub-classified into having fasting behaviors, using weight loss supplements or purging behaviors. Economic costs include healthcare and productivity costs to caregivers. Healthcare costs were measured using data from the Medicare and Pharmaceutical Benefits, which includes both medical and pharmaceutical costs. Productivity losses were measured using caregivers' lost leisure time due to UWCBs among adolescents. The mixed effect model identified statistically significant higher economic costs (mean difference = $453, 95% CIs $154, $752), higher health care costs (mean difference = $399, 95% CIs $102, $695), and higher productivity costs (mean difference = $59, 95% CIs $29, $90) for adolescents with UWCBs compared to their peers with no UWCBs. Subgroup analysis revealed that higher costs were associated with fasting and purging behaviors. UWCBs were associated with increased economic costs during adolescence. Our finding suggests there should be a policy focus on tackling UWCBs to reduce the economic burden on the healthcare system and society. The study contributes to existing knowledge by investigating the direct healthcare costs and productivity losses associated with unhealthy weight control behaviors in Australian adolescents (14-18 years old) using a dataset that follows Australian adolescents over time. We found that engaging in unhealthy weight control behaviors such as fasting, using weight loss supplements, and purging was linked to higher costs among adolescents, suggesting policies should focus on addressing these behaviors.