Search Results (104)

Objective: The aim of the study was to evaluate the effect of postural stabilization exercises, in addition to cervical stabilization (CS), on the craniovertebral angle (CVA), pain, neck disability index (NDI), and quality of life in people with chronic neck pain. Methods: This study was performed on 60 women with chronic neck pain, aged 20–60 years, who were randomly divided into two groups. Individuals in the first group underwent CS exercises, in addition to scapular and lumbopelvic stabilization (SLPS) exercises, three times a week for 6 weeks. The individuals in the second group underwent only CS exercises for the same period. Moreover, stretching exercises and a 20 min hot pack were applied to the muscles around the neck of all patients. The CVA was measured using photogrammetry. The visual analog scale (VAS) was used to assess pain. The disability level was measured using the NDI. The Turkish version of the 36-Item Short-Form Health Survey (SF-36) was used to assess quality of life. The assessments were conducted before treatment, after treatment, and at the 2-month follow-up. To assess changes over time and between groups, a two-way repeated measures analysis of variance (ANOVA) was conducted. Results: Post-treatment measurements revealed significant differences favoring the SLPS group. The VAS and NDI scores were markedly lower in the SLPS group than in the CS group, both post-treatment (p < 0.001) and at follow-up (p < 0.001). The CVA was significantly greater in the SLPS group at both the post-treatment (p < 0.001) and follow-up (p < 0.001) assessments. However, in all sub-parameters except the SF-36 general health subscale, the SLPS group reported higher scores than the CS group post-treatment and at follow-up. Effect sizes for between-group comparisons ranged from moderate to very large (Cohen’s d = 0.65 to 2.31), and partial eta-squared (η²) values indicated moderate to large effect magnitudes (η² = 0.09 to 0.48), supporting the clinical relevance of the findings. Conclusion: In individuals with neck pain, including SLPS exercises in the treatment program, rather than just exercises for the cervical region, provides more positive results in terms of reducing disability and pain and increasing functionality. Clinical Trial Registration Number: NCT06578481. Full article

In numerous domains of finance and economics, modelling and predicting stock market volatility is essential. Predicting stock market volatility is widely used in the management of portfolios, analysis of risk, and determination of option prices. This study is about volatility modelling of the daily Johannesburg Stock Exchange All Share Index (JSE ALSI) stock price data between 1 January 2014 and 29 December 2023. The modelling process incorporated daily log returns derived from the JSE ALSI. The following volatility models were presented for the period: sGARCH(1, 1) and fGARCH(1, 1). The models for volatility were fitted using five unique error distribution assumptions, including Student’s t, its skewed version, the generalized error and skewed generalized error distributions, and the generalized hyperbolic distribution. Based on information criteria such as Akaike, Bayesian, and Hannan–Quinn, the ARMA(0, 0)-fGARCH(1, 1) model with a skewed generalized error distribution emerged as the best fit. The chosen model revealed that the JSE ALSI prices are highly persistent with the leverage effect. JSE ALSI price volatility was notably influenced during the COVID-19 pandemic. The forecast over the next 10 days shows a rise in volatility. A comparative study was then carried out with the JSE Top 40 and the S&P500 indices. Comparison of the FTSE/JSE Top 40, S&P 500, and JSE ALLSI return indices over the COVID-19 pandemic indicated higher initial volatility in the FTSE/JSE Top 40 and S&P 500, with the JSE ALLSI following a similar trend later. The S&P 500 showed long-term reliability and high rolling returns in spite of short-run volatility, the FTSE/JSE Top 40 showed more pre-pandemic risk and volatility but reduced levels of rolling volatility after the pandemic, similar in magnitude for each index with low correlations among them. These results provide important insights for risk managers and investors navigating the South African equity market. Full article

Traditional tomato-braised beef brisket with potatoes is celebrated for its rich, complex flavors and culinary appeal but requires lengthy preparation. Pre-packaged versions of the dish rely on thermal sterilization for safety; however, high-temperature processing accelerates protein and lipid oxidation, thereby compromising its sensory quality. As the demand for ready-to-eat meals grows, the food industry faces the challenge of ensuring microbial safety while preserving flavor integrity. In this study, low-temperature plasma sterilization (LTPS) (160 KV, 450 s) was evaluated as a non-thermal alternative to conventional high-temperature short-time (HSS) sterilization. Furthermore, a comprehensive analysis was conducted over a 10-day storage period, assessing microbial viability, physicochemical properties (pH, shear force, and water-holding capacity), oxidative markers (TBARS, TVB-N, and protein carbonyls), volatile compounds (GC-MS), and electronic nose (e-nose) responses. The results revealed that LTPS (160 kV, 450 s) successfully maintained bacterial counts below regulatory limits (5 lg CFU/g) for 72 h, ensuring that the microbial indicators of short-term processed products sold to supermarkets through cold chain logistics were in the safety range. Additionally, LTPS-treated samples showed a 4.2% higher water-holding capacity (p < 0.05) during storage, indicating improved preservation of texture. Furthermore, LTPS-treated samples exhibited 32% lower lipid oxidation (p < 0.05) and retained 18% higher sulfhydryl content (p < 0.05) compared to HSS, indicating reduced protein oxidation. GC-MS and e-nose analyses showed that LTPS preserved aldehydes and ketones associated with meaty aromas, while HSS contributed to sulfur-like off-flavors. Principal component analysis showed that the LTPS samples had shorter distances across various storage periods compared to HSS, indicating reduced differences in aroma difference. The findings of this study demonstrate LTPS’s dual efficacy in microbial control and aroma preservation. The technology presents a viable strategy for extending the shelf life of pre-prepared meat dishes while reducing oxidative and flavor deterioration, thereby establishing a solid foundation for LTPS application in the pre-prepared food sector. Full article

Background/Objectives: Obesity is heterogeneous and considered a chronic epidemic with significant un-met needs for management, treatment, and prevention. Methods: In this study, we used LizAI’s software TAITAN (alpha version) for the mega-collection and analysis of clinical data from 10,407 trials addressing obesity and obesity-related diseases and their associated publications, mainly on PubMed. Results: We report an intensive growth of clinical trials until the end of 2024 and highlight the use of the body mass index (BMI) as a critical criterion in clinical participant selection despite its limitations. The significant disparities in races, regions, and the sites of trials across all studies have not been addressed, posing the possibility of research in the far future on the applications of precision medicine in weight management. In the latter parts of this paper, we analyze and discuss the clinical efficacy, mainly focusing on the primary endpoints and benchmarks of the recently FDA-approved once-weekly injectable glucagon-like peptide-1 receptor agonist (GLP-1 RA) drugs, including semaglutide and tirzepatide. Both drugs have functioned comparably when considering the 5% weight loss FDA threshold. Tirzepatide outperforms semaglutide and impacts fewer participants as the weight loss level increases from 5 to 20% and has greater effects in different populations, especially in people with type 2 diabetes (T2D). Conclusions: We would, however, like to highlight that (i) the weight loss level should be dependent on the clinically relevant needs of patients, and faster and greater weight loss might not be a win, and (ii) the clinical benefits, safety, and quality of life of patients should be carefully assessed when the weight loss is significant in a short period. In our search, we found that the specificities and impacts of weight loss therapies on organs like the kidneys and heart, different muscle types, bones, and fat accumulation in different parts of body were not investigated or disclosed during the clinical study period and longer term monitoring. In light of scientific needs and remarkable public interest in weight loss, our report provides findings on the buzz around losing weight in clinical trials, and our TAITAN software continues to collect data in real time and enrich its knowledge for future updates. Full article

Objective: Intrauterine resuscitation (IR) may be employed during labor to reduce emergency deliveries with concerns for fetal wellbeing emanating mostly from increased uterine contraction frequency and/or intensity. However, there is no standard definition of what constitutes IR, and how its impact is assessed. Here, we have created two measures of relative IR effectiveness, determined over a two-hour time frame after Pitocin was first initiated, and asked how fetal risk severity at the time of its initiation impacted IR effectiveness and the clinical decisions made. Methods: We analyzed 118 patients receiving Pitocin who underwent IR at least once during labor. Retrospectively, we assessed risk levels using our Fetal Reserve Index version 2 (FRI v2) scores that were calculated in 20 min timeframes. FRIv2 scores include various maternal, obstetric, and fetal risk factors, uterine contraction frequency, and FHR baseline rate, variability, accelerations, and decelerations. We define 3 IR scenarios to assess relative IR effectiveness. (1) No reduction in PIT infusion rates (PITSAME), (2) decreased PIT infusion rates (DPIT), or (3) PIT turned off (PIT OFF). Maternal repositioning and oxygen administration are nearly universal across all types and, therefore, are not considered in groupings. We then created two measures of IR effectiveness by classifying changes in FRI v2 scores over six 20 min windows coincident with and following IR use as (1) “Improvement” (improvement relative to the FRIv2 score at IR initiation) and (2) “Stabilization” (no further decrease in FRI score relative to the FRIv2 score in the sixth 20 min epoch after IR initiation). We evaluated the relative effectiveness of the three PIT options, and to test whether the level of fetal risk at the time of IR initiation affected its short-term effectiveness, FRI v2 risk scores were assigned to one of three groups (Green [1.00–0.625]; Yellow [0.50–0.25]; Red 0.25–0.0]). Higher scores indicate lower risk. Statistical analysis was performed with ANOVA and t- tests. Results: Overall, the first and/or the only initiation of IR resulted in improvement in 71% of cases and stabilization in 78% of cases. The remaining 22% were failures, meaning that the FRIv2 score in the 6th 20 min period was lower than the score at the time of initiation. There were modest, but not statistically significant, differences in effectiveness (improvement or stabilization) by type of IR. There was a trend toward lower IR effectiveness of PIT OFF during IR initiation when compared to PIT continuation or decreased groups. Conclusions: IR initiation or type did not vary significantly by retrospectively calculated levels of fetal risk, showing that wide variation in clinician practices, not necessarily correlated with what we believe actual risk was, determine how IR was used. The FRI provides contextualization of FHR elements by adding maternal, fetal, and obstetric risk factors, and increased uterine activity enables a more rigorous and reproducible approach to analysis of emerging fetal compromise and IR effectiveness. As practice has shifted from the over-aggressiveness of PIT use to now premature discontinuations with any tracing variation, we need better metrics. FRIv2 further improves its physiologic underpinnings. Thus, we propose a new approach to the overall assessment of IR practice. Full article

Background/Objectives: Different international organizations recommend exclusive breastfeeding during the neonate’s first six months of life; however, figures of around 38% are reported at the global level. One of the reasons for early abandonment is the mothers’ perception of supplying insufficient milk to their newborns. The objective of this research is to assess how mothers’ perceived level of self-efficacy during breastfeeding affects their ability to breastfeed and the rates of exclusive breastfeeding up to six months postpartum. Methods: A systematic review for the 2000–2023 period was conducted in the following databases: Cochrane, Web of Science, Scopus, PubMed, Science Direct, and CINAHL. Original articles, clinical trials, and observational studies in English and Spanish were included. Results: The results comprised 18 articles in the review (2006–2023), with an overall sample of 2004 participants. All studies were conducted with women who wanted to breastfeed, used the Breastfeeding Self-Efficacy Scale or its short version to measure postpartum self-efficacy levels, and breastfeeding rates were assessed up to 6 months postpartum. Conclusions: The present review draws on evidence suggesting that mothers’ perceived level of self-efficacy about their ability to breastfeed affects rates of exclusive breastfeeding up to 6 months postpartum. High levels of self-efficacy are positively related to the establishment and maintenance of exclusive breastfeeding; however, these rates decline markedly at 6 months postpartum Full article

Despite the generally good prognosis of differentiated thyroid cancer (DTC), impairments in health-related quality of life (HRQoL) remain a major concern in these patients. This study examined the patterns and predictors of change in mental and physical HRQoL in DTC survivors following radiotherapy ablation. Two hundred patients with DTC who received radiotherapy ablation in southern Taiwan between 2015 and 2018 were interviewed using the Taiwan version of the 36-item Short-form Health Survey (SF-36), the Taiwanese Depression Questionnaire (TDQ), and the Hamilton Rating Scale for Anxiety (HAM-A) at baseline and after 24 and 48 weeks of treatment. The demographic characteristics, thyroid-related factors, recombinant human thyroid-stimulating hormone (rhTSH), and serum calcium level were also collected. Improvements in both mental and physical HRQoL were noted over the first 24 weeks following radiotherapy ablation. Between 24 and 48 weeks, mental HRQoL was increasing, whereas physical HRQoL decreased. Higher levels of anxiety and pain predicted both poor physical and mental HRQoL. Further, higher levels of depression predicted poor mental HRQoL. Additionally, factors such as low income, rhTSH use, elevated TSH levels, low free T4, and higher physical HRQoL were associated with poorer mental HRQoL during the follow-up period. The early detection and intervention of depression, anxiety, and pain should be the objective for programs aiming to improve HRQoL. Full article

This paper investigates the applicability of the Numerical Weather Prediction (NWP) data for characterizing the gradient of zenith wet delay in horizontal direction observed on short baselines over larger territories. A three-year period of data for an area covering Scandinavia and Finland is analyzed, and maximum gradients during the considered period are identified. To assess the quality of the NWP-based estimates, results for a smaller region are compared with the estimates obtained using Global Navigation Satellite System (GNSS) measurements processed by the GipsyX/RTGx software package (version 2.1) from a cluster of GNSS reference stations. Additionally, the NWP data from 7 to 9 August 2023 covering a period that includes a storm with high rain intensities over Southern Norway leading to sustained flooding are processed and analyzed to assess if the gradient of zenith wet delay in the horizontal direction increases significantly during such events. The results show that maximum gradients in the range of 40–50 mm/km are detected. When comparing NWP-based estimates to GNSS-based estimates, the tropospheric delays show a very strong correlation. The tropospheric gradients, however, show a weak correlation, probably due to the uncertainty in the NWP data exceeding the gradient values. The data captured during the storm show that while the tropospheric delay increases significantly it is difficult to see increases in the gradient of zenith wet delay in the horizontal direction using this data source and resolution. Full article

Background: This study aimed to evaluate the effectiveness of 8-week exercise programs (aerobic, stretching, and aerobic plus stretching) in improving menstrual characteristics in female adolescents in Saudi Arabia. Methods: In this quasi-experimental study, seventy-eight healthy female adolescents aged 12–18 from secondary and high schools in Riyadh participated. Participants were divided into three groups and subjected to different types of exercises (aerobic, stretching, and aerobic plus stretching) for 20–30 min, three times a week. Menstrual pain, stress, and attitudes were assessed using the Numerical Rating Scale, Adolescent Stress Questionnaire Short Version, and Adolescent Menstrual Attitude Questionnaire, respectively. Assessments were conducted before the intervention and after the third menstrual period post-intervention. Results: The aerobic exercise group experienced a significant reduction in the mean length of the menstrual cycle (p = 0.025). The aerobic plus stretching group had the most significant reduction in mean menstrual pain scores (p < 0.0001). Stress scores were significantly reduced in the stretching group (p < 0.0001). Conclusion: We conclude that combining aerobic and stretching exercises significantly reduces menstrual pain, while aerobic exercise decreases menstrual cycle length and pain. Full article

The aim of this study is to determine the effect of climate change on reference evapotranspiration (ETo) and sunflower and wheat evapotranspiration (ETs and ETw, respectively) in the Trakya Region of Türkiye. ETo Calculator (version 3.2) and CROPWAT 8.0 were used to compute ETo and ET in the reference period (1970–1990), short- (2016–2025), mid- (2046–2055), and long- (2076–2085) terms. Additionally, ETo was tested in 2012 and ETo was simulated for every 1 °C temperature increase up to 5 °C in the reference period. Calculated ETo and ET values for the future were compared with the reference period. For the future, climate data estimated by RegCM3 Regional Climate Model, A2 scenario were used. While the average ETo value of the reference period was 3.3 mm day⁻¹, it was 3.0 mm day⁻¹ in 2012. Compared to the reference period, ETo values change by −3% (3.2 mm day⁻¹), 9% (3.6 mm day⁻¹), and 21% (4.0 mm day⁻¹) in the short-, mid-, and long-term, respectively. The 575 mm ET deficit calculated during the vegetation period of sunflower in the model reference period was forecasted to change by −11% (514 mm), +15% (660 mm), and +25% (721 mm) in the short-, mid-, and long-term, respectively. For wheat, while 59 mm of excess water was calculated in the reference period, it became 193 mm (+227%) in the short-term and a water deficit of 8 mm (−113%) and 6 mm (−110%) in the mid- and long-term, respectively. In addition, it is estimated that there will be an increase of 0.1 mm day⁻¹ (4%) in ETo values for each 1 °C temperature increase compared to the reference period (1970–1990). It was concluded that climate change in the Trakya Region will not significantly affect wheat farming; however, it will cause a serious water deficit in sunflower production. Full article

In this study, the concept of symmetry is employed to implement an intelligent fuzzy traffic signal control system for complex intersections. This approach suggests that the implementation of reduced fuzzy rules through the reduction method, without compromising the performance of the original fuzzy rule base, constitutes a symmetrical approach. In recent decades, urban and city traffic congestion has become a significant issue because of the time lost as a result of heavy traffic, which negatively affects economic productivity and efficiency and leads to energy loss, and also because of the heavy environmental pollution effect. In addition, traffic congestion prevents an immediate response by the ambulance, police, and fire brigades to urgent events. To mitigate these problems, a three-stage intelligent and flexible fuzzy traffic control system for complex intersections, using a novel hybrid reduction approach was proposed. The three-stage fuzzy traffic control system performs four primary functions. The first stage prioritizes emergency car(s) and identifies the degree of urgency of the traffic conditions in the red-light phase. The second stage guarantees a fair distribution of green-light durations even for periods of extremely unbalanced traffic with long vehicle queues in certain directions and, especially, when heavy traffic is loaded for an extended period in one direction and the short vehicle queues in the conflicting directions require passing in a reasonable time. The third stage adjusts the green-light time to the traffic conditions, to the appearance of one or more emergency car(s), and to the overall waiting times of the other vehicles by using a fuzzy inference engine. The original complete fuzzy rule base set up by listing all possible input combinations was reduced using a novel hybrid reduction algorithm for fuzzy rule bases, which resulted in a significant reduction of the original base, namely, by 72.1%. The proposed novel approach, including the model and the hybrid reduction algorithm, were implemented and simulated using Python 3.9 and SUMO (version 1.14.1). Subsequently, the obtained fuzzy rule system was compared in terms of running time and efficiency with a traffic control system using the original fuzzy rules. The results showed that the reduced fuzzy rule base had better results in terms of the average waiting time, calculated fuel consumption, and CO₂ emission. Furthermore, the fuzzy traffic control system with reduced fuzzy rules performed better as it required less execution time and thus lower computational costs. Summarizing the above results, it may be stated that this new approach to intersection traffic light control is a practical solution for managing complex traffic conditions at lower computational costs. Full article

Soil moisture data with both a fine spatial scale and a short global repeat period would benefit many hydrologic and climatic applications. Since the radar transmitter malfunctioned on NASA’s Soil Moisture Active Passive (SMAP) in 2015, SMAP soil moisture has been downscaled using numerous alternative fine-resolution data. In this paper, we describe the creation and validation of a new downscaled 3 km soil moisture dataset, which is the culmination of previous work. We downscaled SMAP enhanced 9 km brightness temperatures by merging them with L-band Cyclone Global Navigation Satellite System (CYGNSS) reflectivity data, using a modified version of the SMAP active–passive brightness temperature algorithm. We then calculated 3 km SMAP/CYGNSS soil moisture using the resulting 3 km SMAP/CYGNSS brightness temperatures and the SMAP single-channel vertically polarized soil moisture algorithm (SCA-V). To remedy the sparse daily coverage of CYGNSS data at a 3 km spatial resolution, we used spatially interpolated CYGNSS data to downscale SMAP soil moisture. 3 km interpolated SMAP/CYGNSS soil moisture matches the SMAP repeat period of ~2–3 days, providing a soil moisture dataset with both a fine spatial scale and a short repeat period. 3 km interpolated SMAP/CYGNSS soil moisture, upscaled to 9 km, has an average correlation of 0.82 and an average unbiased root mean square difference (ubRMSD) of 0.035 cm³/cm³ using all SMAP 9 km core validation sites (CVSs) within ±38° latitude. The observed (not interpolated) SMAP/CYGNSS soil moisture did not perform as well at the SMAP 9 km CVSs, with an average correlation of 0.68 and an average ubRMSD of 0.048 cm³/cm³. A sensitivity analysis shows that CYGNSS reflectivity is likely responsible for most of the uncertainty in downscaled SMAP/CYGNSS soil moisture. The success of 3 km SMAP/CYGNSS soil moisture demonstrates that Global Navigation Satellite System–Reflectometry (GNSS-R) observations are effective for downscaling soil moisture. Full article

Juvenile idiopathic arthritis (JIA) is a chronic arthritis of unknown cause that develops in patients younger than 16 years of age and persists for at least 6 weeks. It is an important cause of short- and long-term physical and mental impairments in children. The goal of treatment for JIA is remission. A T2T (treatment-to-target) has been proposed and practiced as a means of achieving remission. The method of evaluating the disease activity of JIA depends on the disease type. For systemic JIA, disease activity is determined by comprehensively considering joint findings, systemic inflammatory findings, changes in inflammatory and synovitis markers, imaging findings, and other factors. For articular JIA other than systemic JIA, the Juvenile Arthritis Disease Activity Score (JADAS-27) is used to evaluate disease activity. The CHAQ (Childhood Health Assessment Questionnaire) and the Japanese version of the modified Rankin Scale (mRS) are mainly used to assess the physical function and ADL. The CHAQ is a global standard assessment method with the advantage that it can be transitioned to the HAQ used in adults, making it useful for international comparisons. The mRS is used to classify the severity of JIA as a chronic disease, and is an indispensable evaluation method in the specific disease procedure in Japan. It is necessary to have pediatric-specific knowledge of growth and development and routine childhood immunizations and to consider transition support tailored to the patient’s situation. Ultimately, the goal is to foster the patient’s independence and to provide an uninterrupted follow-up in the adult care department. Continuous follow-up will be provided during the schooling (and later, employment) period, and the relationship with the patient will be tailored to their developmental stage. It is also important to understand and communicate the importance of contraception and the drugs that cannot be used during pregnancy. Full article

Over the years, the Cape Peninsula has seen a rise in the number of fires that occur seasonally. This study aimed to investigate the extent of fire spread and associated damages during the 2023/2024 Cape Peninsula fire events. Remote sensing datasets from Sentinel-5P, Sentinel-2, Moderate Resolution Imaging Spectroradiometer (MODIS), and Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) were used. Most of the fires on the northern side of the Cape Peninsula had a short burning span of between 6 and 12 h, but fires with a duration of 12–24 h were minimal. The northern area is composed of low forests and thickets as well as fynbos species, which were the primary fuel sources. Excessive amounts of carbon monoxide (CO) and black carbon (BC) emissions were observed. High speeds were observed during the period of the fires. This is one of the factors that led to the spread of the fire. Relative humidity at 60% was observed, indicating slightly dry conditions. Additionally, the Leaf Water Content Index (LWCI) indicated drier vegetation, enhancing fire susceptibility. High temperatures, low moisture and strong winds were the main drivers of the fire. The Normalized Burn Ratio (NBR) values for the targeted fires showed values close to −1, which signifies presence of a fire scar. The study can be of use to those in the fire management agencies and biodiversity conservation in the region. Full article

Background: This longitudinal study aimed to evaluate whether prior engagement in a physical exercise program correlated with enhanced perceptions of quality-of-life components among older adults during the COVID-19 lockdown period. Methods: The cohort comprised elderly individuals (aged ≥ 65 years) who had previously partaken in a 12-week randomized controlled trial investigating the effects of a mixed aerobic–anaerobic, moderate-intensity exercise program. Participants’ health-related quality of life was assessed using the Short Form Health Survey-12 item (SF-12) at the beginning of the initial trial and, again, one year later during the COVID-19 lockdown. In the exercise group, 44 participants were included, while the control group consisted of 49 participants, with computer-based, double-blind randomization conducted in Cagliari, Italy. The differences in scores for each SF-12 item between the two groups from T0 to T1 were compared using one-way ANOVA with Bonferroni corrections. Data were analyzed using the Statistical Package for Social Sciences (SPSS) version 27. Results: No statistically significant differences were observed on average by age (exercise group vs. control group 72.20 ± 4.78 vs. 72.91 ± 4.77; F = 0.513, p = 0.476). A decrease from T0 to T1 towards a better score on the SF-12 was observed in the exercise group compared to the control group in item 1 (F = 67.463, p < 0.0001); in item 5 (F = 4.319, p = 0.041); item 8 (F = 4.269, p = 0.041); item 9 (F = 10.761, p = 0.001); item 10 (F = 170.433, p < 0.001); and item 11 (F = 4.075, p = 0.046). Conclusions: The results suggest that participation in a moderate physical exercise program one year prior may have equipped older adults with better coping mechanisms to navigate the stress and isolation imposed by the COVID-19 lockdown, as reflected by their enhanced scores on quality-of-life components pertaining to mental well-being. Exercise may confer a protective effect against the adverse psychological impacts of stressful events like the pandemic, even among older adults with chronic conditions. This study underscores the potential benefits of exercise interventions for promoting quality of life and preventing mood disorders in the elderly population. Full article