Heavy Load Research Articles

Occupational Injuries of Spanish Wildland Firefighters: A Descriptive Analysis.

The work of wildland firefighters, especially of the so-called 'Brigadas de Refuerzo contra Incendios Forestales', is characterised by high physical demands and extreme operating conditions. These professionals face long workdays (12 h), walking with heavy loads (~25 kg), being exposed to high temperatures (>30 °C), and handling specialised tools in high-risk environments. This study aimed to describe the prevalence of occupational injuries among members of the 'Brigadas de Refuerzo contra Incendios Forestales' and its relationship to variables such as age and work experience. A total of 217 wildland firefighters (18 female and 199 male) correctly answered a questionnaire developed on an ad hoc basis to meet the study's objectives. A high prevalence of occupational injuries was observed among them (~76%). Age and work experience were shown to be significantly associated with injuries. Individuals over 35 years of age with more than 10 years' experience had a higher probability of injury (OR = 2.14, CI = 1.12-4.06 and OR = 2.46, CI = 1.30-4.67, respectively). Injuries occurred mainly during physical training (~46%), followed by preventive work (~33%) and forest fires (~20%). The most common injuries were tendonitis and muscle pain (~44% and ~21% respectively), followed by sprains (~21%). The results underline the need for physical activity programmes adapted to help wildland firefighters, especially older and more experienced individuals. The identification of risk factors such as age and work experience can contribute to the prevention and management of occupational injuries among this group of highly specialised forestry workers. Specific preventative measures during training are required to mitigate the risk of injury among these crews, who play a crucial role in protecting the environment and public safety.

A bridge dynamic response analysis and load recognition method using traffic imaging

As the primary variable load of bridges, vehicle load is an important parameter for bridge health monitoring. However, traditional Weigh-in-Motion (WIM) systems and the commonly used method of placing sensors on the bridge are challenging to apply in load monitoring for many small and medium-sized bridges. Therefore, this paper proposes a bridge vehicle load identification method based on traffic surveillance video data. Leveraging the surveillance video data on the bridge, without introducing additional hardware devices, the displacement of target points is detected through sub-pixel level image detection algorithms, enabling non-contact measurement of bridge structural response through imaging. A spatiotemporal relationship model of structural displacement, vehicle load, and load distribution is established to solve for vehicle load. Finally, model bridge tests under various loading conditions and engineering practice experiments are conducted to validate the feasibility of the method. The results of the model bridge tests show that the structural displacement measured using traffic video measurement has a deviation of less than 10% compared to the measurements obtained using contact displacement sensors (LVDT), and it can accurately reflect the displacement characteristics of the structure. The results of the field tests demonstrate that the average estimation deviation for heavy vehicle loads ranging from 12 to 18 tons is approximately 18%, meeting the engineering requirements. The proposed method can provide load statistical information for the extensive health monitoring of small and medium-sized bridges and offer a new technical pathway for obtaining bridge load information.

Optimizing Orchard Planting Efficiency with a GIS-Integrated Autonomous Soil-Drilling Robot

A typical orchard’s mechanical operation consists of three or four stages: lining and digging for plantation, moving the seedling from nurseries to the farm, moving the seedling to the planting hole, and planting the seedling in the hole. However, the digging of the planting hole is the most time-consuming operation. In fruit orchards, the use of robots is increasingly becoming more prevalent to increase operational efficiency. They offer practical and effective services to both industry and people, whether they are assigned to plant trees, reduce the use of chemical fertilizers, or carry heavy loads to relieve staff. Robots can operate for extended periods of time and can be highly adept at repetitive tasks like planting many trees. The present study aims to identify the locations for planting trees in orchards using geographic information systems (GISs), to develop an autonomous drilling machine and use the developed robot to open planting holes. There is no comparable study on autonomous hole planting in the literature in this regard. The agricultural mobile robot is a four=wheeled nonholonomic robot with differential steering and forwarding capability to stable target positions. The designed mobile robot can be used in fully autonomous, partially autonomous, or fully manual modes. The drilling system, which is a y-axis shifter driven by a DC motor with a reducer includes an auger with a 2.1 HP gasoline engine. SOLIDWORKS 2020 software was used for designing and drawing the mobile robot and drilling system. The Microsoft Visual Basic.NET programming language was used to create the robot navigation system and drilling mechanism software. The cross-track error (XTE), which determines the distances between the actual and desired holes positions, was utilized to analyze the steering accuracy of the mobile robot to the drilling spots. Consequently, the average of the arithmetic means was determined to be 4.35 cm, and the standard deviation was 1.73 cm. This figure indicates that the suggested system is effective for drilling plant holes in orchards.

Influences of Surface Texture on the Friction Characteristics of Powder Metallurgy Clutch Disks

Many studies have consistently demonstrated the positive effects of surface texture on the performance of friction couples. Circular dimple textures are made on the flat surfaces of the copper-based powder metallurgy friction disk samples from a multi-disk clutch with five different circular densities. Long-term pin-on-disk sliding experiments under different loads are conducted. Surface morphology analysis is also conducted to evaluate the wear characteristics of the sample disks. Results show that the working load does not significantly affect the coefficient of friction (COF) of the flat surface samples, but there exist significant differences of the COF at different radii with the same rotation speed. Compared with the flat surface samples, the textured samples have a 20–65% decrease of COF under light load conditions but have a more than 30% increase under heavy load conditions. Furthermore, the wear of the textured samples is substantially reduced by more than 19% and 40% respectively. Therefore, the circular dimple texture can significantly enhance the friction and wear performances of the copper-based powder metallurgy friction disks, especially under heavy load working conditions.

Establishment of a new vault prediction formula after implantable collamer lens implantation based on factor analysis of multi-modal ophthalmic parameters of anterior and posterior chamber.

To establish a novel vault prediction formula after implantable collamer lens (ICL) implantation that considers both anterior and posterior chamber characteristics with multi-modal parameters. A total of 103 and 65 eyes were included in the development and validation groups, respectively. Exploratory factor analysis was performed using data from optical coherence tomography and ultrasound biomicroscopy in the development group to synthesise summative factors with different clinical significance. Dominant original metrics with heavy loadings on significant factors (absolute value of the loading coefficient >0.5) were screened for multivariate linear regression models using a stepwise method. The newly derived formula was evaluated and compared to the NK and KS formulas in the validation group. Six factors (anterior chamber angle, horizontal width, lens, iris, iridociliary complex and ciliary body) were generated after dimension reduction via factor analysis. Factors 2 (horizontal width), 3 (lens), and 5 (iridociliary complex) had a significant influence on the vault. When dominant metrics on these factors were screened for further model building, ICL size, anterior chamber width, crystalline lens rise, iris curvature, and iris-ciliary process distance were retained in the final formula, with an adjusted R2 of 0.698, a median absolute error of 81.97 mm, and a root-mean-square error of 103.35 mm. Multiple intraocular components, including the lens, iris, and ciliary body, play important roles in vault determination. The new formula exhibits good accuracy for vault predictions and ICL size recommendations.

Functional and structural assessment of an experimental section gap graded modified with sugarcane bagasse ash

Gap-graded aggregate combined with asphalt rubber presents a high-performance alternative for roads with heavy traffic loads, offering advantages over conventional mixtures in terms of permanent deformation (rutting), fatigue life, and texture. In this study, the conventional filler in the well-established mixture was substituted with sugarcane bagasse bottom ash (SCBA) at a proportion of 5% of the total mineral aggregates. The objective was to enhance the mechanical performance of the asphalt coating while ensuring proper disposal of this waste material. Compared to conventional filler, SCBA is less dense, has smaller dimensions, and exhibits greater roughness, thereby affecting the volumetric parameters of the Marshall mix design. Consequently, the volume of voids in mineral aggregates and voids filled with asphalt increased while maintaining the same volume of air voids (5.3%). Consequently, there was a notable increase in Marshall Stability (40%) and Indirect Tensile Test (22%) mechanical parameters. Following laboratory analysis, the modified mixtures were applied as asphalt coating on a high-traffic highway (BR-158). Field specimens revealed an 18% increase in the Resilience Modulus (4088 MPa; 3478 MPa). Additionally, its Flow Number exhibited a 73% increase (16,707; 9681), and its permanent deformation rate was 28% lower within 10,000 cycles in the dynamic creep test. This was further supported by an 11% reduction in permanent deformation rate in the Hamburg Wheel Tracking Device (HWTD) within 20,000 cycles (3.2 mm; 3.6 mm). In conclusion, the partial replacement of conventional filler with sugarcane bagasse ash within the established granulometric range has demonstrated technical feasibility both in laboratory and field settings.

Sex differences in intra-set kinematics and electromyography during different maximum repetition sets in the barbell back squat?

Barbell squats are commonly utilized in resistance training for rehabilitation, daily living enhancement, and improving sports performance. The current study investigated the kinematic and electromyographic (EMG) parameters in the squat between sexes across different repetition ranges (1-, 3-, 6-, and 10-RM) among recreationally strength-trained subjects. A total of 26 subjects (13 men: age 25 ± 3.5 years, height 178.2 ± 5.8 cm, weight 82.3 ± 9.1 kg; 13 women: age 24 ± 4.1 years, height 165.4 ± 6.3 cm, weight 68.2 ± 8.7 kg) participated in the study. The level of significance was set at p<0.05. The findings revealed no sex-specific differences in average barbell velocity across repetition ranges. However, the 1-RM showed a significantly lower average velocity compared to the final repetition of other repetition ranges (p<0.001), with the last repetition at 10-RM revealing a significantly higher velocity (p<0.001). Women had greater maximal angular hip extension velocity in the final repetitions of the 6- and 10-RM (p≤0.035, ηp2≤0.20), while both sexes displayed lower maximal angular knee extension velocity in the final repetition of the 10-RM (p = 0.028, ηp2 = 0.15). Moreover, men had lower EMG amplitude in the rectus femoris (3- and 10-RM), soleus, and lateral vastus (10-RM) compared to women (p≥0.011, ηp2≥0.26). It was concluded that 10-RM differed greatly in kinematics and EMG, suggesting different fatigue mechanisms compared to other repetition ranges with heavier loads. Furthermore, sex differences in EMG and angular hip extension velocity might imply sex-specific fatiguing mechanisms during high-repetition squats. These considerations could be important when prescribing training programs.

Ergonomics and health risk awareness of workers involved in manual material handling at Sabon Gari Market in Zaria, Nigeria

This study assessed the manual handling of materials in a local market environment and evaluated workers’ awareness of ergonomics and health risks. Of 315 workers surveyed, 308 responded. The findings revealed a high prevalence rate of 96.4% for injuries and musculoskeletal discomfort, attributed to a low ergonomics and health risk awareness rate of only 6.8%. Consequently, 75% of workers resorted to self-medication or drug abuse for relief. The study also explored barriers to using engineering equipment, finding that 26.3% of respondents cited cost as a barrier, while 51% believed that the introduction of engineering equipment would lead to job loss. This research is valuable for practitioners and researchers as it highlights the current state of ergonomics and health risk awareness among workers who handle heavy loads. The study also highlights the need for improved ergonomic practices and health risk awareness to reduce injury rates and promote safer work environments.

An Asymmetric Independently Steerable Wheel for Climbing Robots and Its Motion Control Method

Climbing robots, with their expansive workspace and flexible deployment modes, have the potential to revolutionize the manufacturing processes of large and complex components. Given that the surfaces to be machined typically exhibit variable curvature, good surface adaptability, load capacity, and motion accuracy are essential prerequisites for climbing robots in manufacturing tasks. This paper addresses the manufacturing requirements of climbing robots by proposing an asymmetric independently steerable wheel (AISW) for climbing robots, along with the motion control method. Firstly, for the adaptability issue of the locomotion mechanism on curved surfaces under heavy load, an asymmetric independently steerable wheel motion module is proposed, which improves the steering difficulty of the traditional independently steerable wheel (ISW) based on the principle of steering assisted by wheels. Secondly, a kinematic model of the AISW chassis is established and, on this basis, a trajectory tracking method based on feedforward and proportional–integral feedback is proposed. Comparative experimental results on large, curved surface components show that the asymmetric independently steerable wheel has lower steering resistance and higher motion accuracy, significantly enhancing the reachability of climbing robots and facilitating their application in the manufacturing of large and complex components.

A Performance Evaluation Method for Long and Steep Uphill Sections of Heavy-Haul Railway Lines

Any system for evaluating the safety service performance of heavy-haul railway lines must effectively reflect the real-time service status of the line. The working conditions of heavy-load lines are complex and diverse, particularly on uphill sections. Existing evaluation systems struggle to accurately reflect the service conditions of long and steep uphill sections bearing heavy loads, posing a significant threat to the safe operation of these lines. To address this problem, we propose a new method for evaluating the safety service performance of long and steep uphill sections of heavy-haul railway lines by establishing a scoring system based on the Analytic Hierarchy Process (AHP). First, damage indicators for heavy-haul lines are categorized into three groups: track geometry status indicators, track structure status indicators, and track traffic status indicators. Using data from existing heavy-haul lines and maintenance experiences, we determine a score deduction standard, classifying lines into four levels based on their safety service quality. Next, we establish a coefficient table for the service performance of long and steep uphill sections after the corresponding scores are deducted. Using data for the length and elevation grade of the actual uphill section, we adjust the deducted scores of the track structure status indicators, enhancing the evaluation system’s accuracy in describing the working conditions. Finally, we verify the stability of the entire system by conducting a sensitivity analysis of the indicator evaluation results using the One-At-a-Time (OAT) method. This method fills a critical gap in the safe operation and maintenance of heavy-haul railways and provides a safety guarantee for the operation of long uphill sections of heavy-haul railways.

Design development and evaluation of arm movement-assistive suits for lifting and movement for industrial workers considering wearability

Wearability of clothing is important for enhancing work efficiency and resistance among industrial workers. In this study, we developed wearable suit designs for shoulder and upper limb support when lifting objects considering the wearability of the user in the development stage. We provide basic data on the wearability of functional clothing and wearable suits, with emphasis on improving safety and work efficiency. Two distinct wearable suit designs, namely long- and short-sleeved, were developed and evaluated with a primary focus on wearer comfort. Employing a comprehensive approach encompassing textile analysis, performance assessment, brainwave investigation, and satisfaction surveys, this study provides objective insights for refining the wearability in wearable suit development. A short-sleeved design is recommended for the development of wearable suits tailored to assist industrial workers in tasks requiring muscle strength for heavy loads and repetitive motions. Our results provide foundational data on the wearability of robotic suits in a bid to enhance the safety and efficiency of industrial workers.

Effect of Swimming Training on Bone Tissue in Humans

Introduction and purpose: The skeletal system performs many important functions in the human body. It primarily bears the heavy loads associated with movement, protects internal organs, and participates in the regulation of mineral homeostasis. Through continuous processes of bone remodeling and modeling, optimal levels of calcium and phosphorus in the serum are achieved. The balanced removal of old bone tissue by osteoclasts and the formation of new bone by osteoblasts maintain the mechanical properties necessary for the proper functioning of the musculoskeletal system. Bone modeling has been shown to be activated in response to mechanical loading from physical activity. Conversely, the absence of significant loading (as in space travel, i.e., microgravity conditions) leads to increased bone resorption. Osteocytes, as the most numerous group of cells in the skeletal system, are mechanosensitive and are thought to respond to stimuli such as fluid flow, mechanical deformations, and hydrostatic pressure. In response, they regulate the work of osteoclasts and osteoblasts, translating into the regulation of processes occurring in the bone matrix.[1] It is suspected that the type, intensity, and nature of physical exercises can significantly influence these processes. The aim of this work is to gather information on the impact of swimming training (an example of physical exercise in conditions of partial gravity reduction) on the human skeletal system.

Long-Term Performance of Modified Nature Asphalt–Derived High Modulus Asphalt Mixtures under Heavy Loads and Humid-Hot Climates

Long-Term Performance of Modified Nature Asphalt–Derived High Modulus Asphalt Mixtures under Heavy Loads and Humid-Hot Climates

Kinetics and Kinematics of the Push Press, Push Jerk, and Split Jerk.

Abstract Soriano, MA, Jiménez-Ormeño, E, Lake, JP, McMahon, JJ, Gallo-Salazar, C, Mundy, P, and Comfort, P. Kinetics and kinematics of the push press, push jerk, and split jerk. J Strength Cond Res 38(8): 1359–1365, 2024—The aim of this study was to explore the kinetics and kinematics across incremental loads with the push press (PP), push jerk (PJ), and split jerk (SJ). Eighteen resistance-trained men performed the 1 repetition maximum (1RM) tests (visit 1) 3–7 days before an incremental loading protocol (60, 75, and 90% 1RM) of the 3 exercises (visit 2). Kinetics and kinematics were derived from force-time data and compared using a repeated-measures analysis of variance with load and exercise as within-subject factors. Dependent variables for the biomechanics assessment were categorized as output (power and impulse), driver (force and work), and strategy (displacement and duration) metrics. The interrepetition reliability was assessed using the intraclass correlation coefficient and coefficient of variation. The PP, PJ, and SJ 1RM performance were 89.7 ± 15.4, 95.6 ± 14.4, and 103.0 ± 16.9 kg, respectively. Driver, strategy, and outcome metrics displayed moderate-to-excellent (intraclass correlation coefficient: 0.58–0.98) reliability with acceptable variability (% coefficient of variation: 2.02–10.00). Increased load resulted in significantly large increases in force, work, displacement, duration, power, and impulse (p &lt; 0.001, = 0.534–0.903). Exercise selection had a significant and large effect on power, impulse, work, and force (p &lt; 0.016, = 0.387–0.534). There was a significant and large effect of load × exercise interaction on work, displacement, and duration (p &lt; 0.019, = 0.158–0.220). Practitioners are encouraged to use heavier loads (90 &gt; 75 &gt; 60% 1RM) during the SJ exercise to maximize output, driver, and strategy kinetics and kinematics.

Using Barbell Acceleration to Determine the 1 Repetition Maximum of the Jump Shrug.

Techmanski, BS, Kissick, CR, Loturco, I, and Suchomel, TJ. Using barbell acceleration to determine the 1 repetition maximum of the jump shrug. J Strength Cond Res 38(8): 1486-1493, 2024-The purpose of this study was to determine the 1 repetition maximum (1RM) of the jump shrug (JS) using the barbell acceleration characteristics of repetitions performed with relative percentages of the hang power clean (HPC). Fifteen resistance-trained men (age = 25.5 ± 4.5 years, body mass = 88.5 ± 15.7 kg, height = 176.1 ± 8.5 cm, relative 1RM HPC = 1.3 ± 0.2 kg·kg-1) completed 2 testing sessions that included performing a 1RM HPC and JS repetitions with 20, 40, 60, 80, and 100% of their 1RM HPC. A linear position transducer was used to determine concentric duration and the percentage of the propulsive phase (P%) where barbell acceleration was greater than gravitational acceleration (i.e., a>-9.81 m·s-2). Two 1 way repeated measures ANOVA were used to compare each variable across loads, whereas Hedge's g effect sizes were used to examine the magnitude of the differences. Concentric duration ranged from 449.7 to 469.8 milliseconds and did not vary significantly between loads (p = 0.253; g = 0.20-0.39). The P% was 57.4 ± 7.2%, 64.8 ± 5.9%, 73.2 ± 4.3%, 78.7 ± 4.0%, and 80.3 ± 3.5% when using 20, 40, 60, 80, and 100% 1RM HPC, respectively. P% produced during the 80 and 100% 1RM loads were significantly greater than those at 20, 40, and 60% 1RM (p < 0.01, g = 1.30-3.90). In addition, P% was significantly greater during 60% 1RM compared with both 20 and 40% 1RM (p < 0.01, g = 1.58-2.58) and 40% was greater than 20% 1RM (p = 0.003, g = 1.09). A braking phase was present during each load and, thus, a 1RM JS load was not established. Heavier loads may be needed to achieve a 100% propulsive phase when using this method.

Assessment of heavy metal contamination risk in dry fish from India: A comprehensive study

The widespread presence of heavy metal contaminants in aquatic ecosystems, and consequently in fish, has emerged as a paramount concern owing to the staple role of fish in the Indian diet. The present study addresses heavy metal contamination in dried fish consumed across India and its associated health risks. The objectives of this study were to determine the heavy metal concentrations in dried fish from different regions of India, assess daily heavy metal intake through dried fish consumption, and evaluate the carcinogenic and non-carcinogenic health risks associated with heavy metal exposure. Subsequently, 111 dried fish samples from Guwahati-Assam, Mumbai, Karad-Maharashtra, and Goa were analyzed for eight selected heavy metals using a validated inductively coupled plasma mass spectrometry method results indicated varying contamination levels across locations, with As being the most abundant heavy metal. In Maharashtra and Assam, the heavy metal load in dried fish was as follows: As > Cr > Ni > V > Cd > Pb > Co > Hg. For Goa, the order was As > Cr > Ni > V > Cd > Co > Pb > Hg. Dietary exposure assessments revealed varying levels of exposure between adults and children, with As and Cd posing higher risks to children. The Target Hazard Quotient (THQ) and Hazard Index (HI) values for all metals were within acceptable limit of one. Health risk assessments revealed generally low hazard levels for adults, but higher risks for children, particularly at higher percentiles. Furthermore, As was identified as posing a medium risk of cancer. In essence, this research emphasizes the necessity for strict monitoring and regulations with the aim of controlling health hazards related to heavy metal pollution in food sources.

Study on green power supply modes for heavy load in remote areas

In this study, the present situation and characteristics of power supply in remote areas are summarized. By studying the cases of power supply projects in remote areas, the experience is analyzed and described, and the applicability of related technologies, such as grid-forming storage and power load management, is studied, including grid-connection technologies, such as grid-forming converters and power load management. On this basis, three power-supply modes were proposed. The application scenarios and advantages of the three modes were compared and analyzed. Based on the local development situation, the temporal sequences of the three schemes are described, and a case study was conducted. The study of the heavy-load power supply mode in remote areas contributes to solving the problem of heavy-load green power consumption in remote areas and promoting the further development of renewable energy.

Pick the butt up! Upcycling cigarette butts in road building material for sustainable road construction.

Abstract Roads are the lifeline of any nation. They are vital in passenger and freight transportation. Over usage and heavy loads put a lot of stress and strain on the health of the roads. On the other hand, cigarette butts (CB) are discarded unsafely after smoking and persist in nature as the cellulose acetate content in them, which is a microplastic, that does not decompose easily leading to a lot of littering, pollution and toxin dispersal in the environment. This proposed research utilizes the discarded cigarette butts into road construction material increasing its strength, durability and resistance against rutting while reducing costs and thermal conductivity to maintaining better surface temperatures. The utilization of discarded cigarette butts in road construction is a sustainable solution to not only strengthen the roads, but also reduce the negative environmental impact of improper cigarette butt disposal. In contrast to conventional bitumen roads, these roads possess superior toughness along with broad level durability. Multi-pronged approach to research was implemented here that included firstly a thorough literature review, conceiving the research design, conduct of research steps, evaluation of experimental results, and finally drawing conclusions from them. These experiments included retrieval of cellulose acetate from CBs, traditional physical and rheology tests, sieve analysis by Rothfuch’s technique and Marshall stability test. This paper aims to contribute to sustainable development goals by utilizing CBs to strengthen roads and clean the environment by eliminating this litter.

Rate of Microelement Quantitative Changes during the Composting of Sewage Sludge With Various Bulking Agents

The composting of sewage sludge (SS) with structure-forming additives is a popular and inexpensive method for the management of biodegradable waste. During this process, a number of transformations of organic matter and nutrients occur. This study presents the rates and directions of quantitative changes in Cu, Zn, and Ni during the composting of various mixtures. The following substances were used for preparing compost mixtures: SS, sawdust, straw, and bark. These substances were mixed together in appropriate proportions as follows: C1: 45% SS + 50% sawdust + 5% straw; C2: 45% SS + 50% bark+ 5% straw; and C3: 45% SS + 35% bark + 15% sawdust + 5% straw. Single (DTPA solution) and sequential extraction methods (BCR protocol) were used for microelement mobility assessment. Compost valorization was performed in each individual composting phase. The chain relative increment analysis was used for such assessment. Additionally, the potential metal pollution in the composts was evaluated by applying the following indices: the pollutant accumulation index (PAI), heavy metal enrichment index (HMEI), and heavy metal pollution load index (HMPLI). During composting, generally, the amounts of Ni, Cu, and Zn increased in the various extracted combinations, which was independent of their susceptibility to decomposition. Despite of this, the tested composts should be considered as a source of slowly available microelements for plants. The most intense quantitative changes in metals occurred in the thermophilic phase, and the weakest changes occurred in the cooling phase. At the same time, the calculated indices indicated a lack of contamination of the composts with the analyzed metals, emphasizing their environmental safety and lack of negative impact. The bulking agents used for composting with SS did not significantly influence the intensity of the quantitative changes in the tested metals.

The relationship between anxiety and depression in adolescent depression patients: The mediating effect of hope level and coping modes

BackgroundAdolescents diagnosed with depression are particularly susceptible to anxiety and depressive symptoms, this vulnerability often diminishes their future expectations and overall outlook on life. The objective of this research was to scrutinize the associated risk factors of adolescent depression and delineated the interplay between anxiety and depressive symptoms. Concurrently, it sought to ascertain the latent mediating effects of hope levels and coping strategies within this framework. MethodsA mixed-methods research approach was employed. For the qualitative component, 18 adolescents with depression were interviewed following a semi-structured interview guide, with sessions audio-recorded. The data were subsequently transcribed and subjected to thematic content analysis. In the quantitative phase, a cross-sectional online survey was administered to 210 adolescents diagnosed with depression using Questionnaire Star, with data analysis performed using SPSS25.0 and AMOS 24.0. ResultsThe qualitative analysis identified three major themes and nine categories as key risk factors influencing the onset of adolescent depression. Three major themes were generated: school factors, family factors, and other factors. Nine categories were generated: heavy academic load, strained peer, and teacher-student relationships; unstable family structures, internal familial conflicts, and high parental expectations; a strong sense of social isolation, insufficient sexual education, and prevalent suicidal ideation or attempts. A nurturing and supportive school environment significantly bolsters adolescents' sense of hope and coping abilities, while a warm and encouraging family setting effectively mitigates psychological stress. Conversely, heightened loneliness and the onset of suicidal ideation are frequently linked to diminished hope and the adoption of maladaptive coping strategies. Hence, to comprehensively understand the intricate interplay of these factors, this study concentrated on the levels of hope and coping mechanisms, investigating their potential mediating role in adolescent anxiety and depression. Quantitative analysis revealed a positive correlation between anxiety and depression (r = 0.767, p＜0.01). Additionally, it was found that hope levels and coping strategies mediated the relationship between anxiety and depressive symptoms (β = −0.24–0.84 = 0.20, p < 0.001; β = 0.19–0.51 = −0.10, p < 0.01), with the mediating influence of hope levels being more significant than that of coping strategies. ConclusionEnhancing hope levels and fostering positive coping strategies are instrumental in aiding adolescents with depression to alleviate their anxiety and depressive symptoms. Moreover, this study underscored the importance of focusing on adolescents' mental health and providing them with emotional support, thereby increasing their hope levels and encouraging the adoption of positive coping mechanisms to effectively address their challenges.