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We examine the relationship of home food procurement (HFP) during COVID-19 to emotional eating and stress using a statewide representative survey (n = 600) in Vermont. Women and people with a job change since COVID-19 were more likely to experience higher stress and emotional eating. Engaging in HFP, especially gardening, is associated with less emotional eating. However, people who fished, hunted, or canned more since the pandemic began were more likely to eat for emotional reasons and experience higher stress. These results suggest that gardening, even during a pandemic, may contribute to stress reduction, more so than other nature-based food production activities.Copyright © 2022 Taylor & Francis Group, LLC.
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Objective: Alcohol Use Disorder (AUD) is a common, chronically relapsing condition with substantial health and economic costs. United States federal agencies have put out calls in the last decade to expand the scientific evidence base for broad biopsychosocial recovery from AUD and other substance use disorders (SUD). The present study examined the role of physical activity and exercise in early recovery from AUD, with specific attention to changes in brain-derived neurotrophic factor (BDNF) as a marker of neuroplasticity and a potential mechanism for instantiation of recovery-aligned behaviors. Method: Individuals in the first year of recovery from AUD were recruited into a 12-week study with exercise sessions and pre/post-exercise blood sample collection performed in a laboratory setting at baseline, 6 weeks, and 12 weeks. Data analyses included BDNF enzyme-linked immunosorbent assays (ELISA) to establish pre/post-exercise BDNF concentrations, estimation of the magnitude of the effect of exercise on BDNF, and prospective associations of exercise-induced BDNF change with coping, craving, consumption and mood outcome measures. Results: 26 participants were screened, 22 were eligible, 7 had entered the study, and 6 had provided at least one set of pre/post-exercise blood samples when student research ceased on March 23rd, 2020 due to COVID-19 precautions. Participants with at least one set of pre/post-exercise blood samples demonstrated a statistically significant (p=.014) increase from baseline in BDNF levels after exercise, with a large effect size (Cohen's d=1.519;Hedges' g=1.019 ). The impact of this increase from baseline on subsequent measures of coping, craving, mood, and substance use is unclear due to lack of statistical power. Conclusions: This study is the first to demonstrate that individuals recovering from AUD can increase serum levels of BDNF from baseline levels via sessions of physical exercise. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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On the verge of the expiry of land contracts, it is theoretically and practically important to explore the willingness and motivations of farmers to stabilize the land contract relationship, with regards to protecting their land contract rights, addressing potential contradictions during the land contract extension, and maintaining the stability of contracted land. Using China Land Economic Survey Data in 2020, this paper explores the impact of differences in areas per capita of household contracted land on farmers' willingness to stabilize land contract relationship. The findings show that most farmers support the stability of land contract relationship;the smaller areas per capita of contracted land are occupied by households than the average in the village, the weaker of the farmers' willingness to stabilize the land contract relationship. The difference between the areas per capita of contracted land ownership of a household and the average in the village has a greater impact on the willingness to stabilize land contract relationship for middle-and low-income farmers, while the development of land transfer market does not increased the willingness. Affected by the COVID-19 pandemic, the land plays a more important role of employment security, which reduces farmers' willingness to stabilize the land contract relationship. Furthermore, the promotion of socialized agricultural service has also mitigated the willingness of farmers o stabilize the land contract relationship.
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Smoking is a significant social problem threatening the population's health, especially during the coronavirus pandemic. Due to the problem's urgency, we present a clinical case of SARS-CoV-2 infection in a patient with 10 years of smoking and concomitant chronic obstructive pulmonary disease (chronic bronchitis and peribronchial pneumosclerosis). Patient L.K., 42 years old, on 13.10.2022, was hospitalized for several hours at the Emergency Hospital of the Ministry of Health of Chuvashia (Cheboksary) with a severe new coronavirus infection. Secondary diagnosis: Chronic obstructive pulmonary disease Case history: for about two to three weeks, the patient noted an increase in body temperature to 37.2-37.4 degreeC and a cough. He has smoked for about 10 years, 1 pack per day. Computed tomography showed signs of bilateral COVID-associated pneumonitis, alveolitis with 85% involvement and consolidation sites, signs of chronic bronchitis, and peribronchial pneumosclerosis. The diagnosis of COVID-19 was confirmed by a polymerase chain reaction in a nasopharyngeal smear. The NEWS2 score was 9. After the treatment started, the patient died. Histological examination showed perivascular sclerosis, peribronchial pneumosclerosis, atrophic changes in the ciliated epithelium, and structural and functional alteration of the bronchial mucosa. In addition, areas of hemorrhage and inflammatory infiltrate in the bronchial wall were found. Coronavirus is known not to cause bronchitis but bronchiolitis. In the presented case, the patient showed signs of transition of bronchitis to the acute stage. Therefore, it can be assumed that the coronavirus acts as a complicating factor. In addition to the described changes, signs of viral interstitial pneumonia, pulmonary edema, and early development of acute respiratory distress syndrome were identified.Copyright © 2023, Media Sphera Publishing Group. All rights reserved.
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the CoVid-19 pandemic drastically changed different aspects of the daily lives of millions of people, generating an increase in the use of the internet for maintaining social contact, teleworking or online studies. this study explores the extent to which the internet connection pattern changed during the CoVid-19 confinement in a sample of adults from four latin american countries, considering gender and age. a descriptive study was carried out, including a non-probabilistic convenience sample design. the final sample was comprised of 1488 participants. this analysis shows that internet habits changed in terms of frequency, duration, and time of use. We observe differences when it comes to gender and age. in women, the increases in use are greater for the different variables analyzed, especially for the frequency of connection at night. in terms of age, the younger the age, the greater the increase in internet connection time throughout the day and connection time at night. (PsycInfo Database Record (c) 2023 APA, all rights reserved) (Spanish) la pandemia de CoVid-19 cambio drasticamente diferentes aspectos de la vida cotidiana de millones de personas, generando un incremento del uso de internet para el mantenimiento del contacto social, el teletrabajo o los estudios online. en este articulo se evalua en que medida presento cambios el patron de conexion a internet durante el confinamiento por CoVid-19 en una muestra de adultos de cuatro paises de america latina, considerando el sexo y la edad. se propuso un estudio descriptivo, con diseno no probabilistico de muestreo por conveniencia. la muestra final quedo compuesta por 1488 participantes. el analisis muestra que los habitos de conexion a internet se modificaron en terminos de frecuencia, duracion y horarios, observandose diferencias en funcion del sexo y la edad. en mujeres son mayores los incrementos de uso para las distintas variables analizadas, especialmente para la frecuencia de conexion nocturna. en cuanto a la edad, a menor edad se observa un mayor aumento del tiempo de conexion a internet a lo largo del dia y de conexion en horario nocturno. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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Education officials have long hoped that the statewide academic assessments most students take each year could be used not only for accountability but also to guide instruction. Congress established the Innovative Assessment Demonstration Authority (IADA) program in 2015 to help address this goal, offering up to seven states temporary flexibility from federal testing requirements so that they may more easily make progress toward replacing their current assessments with more innovative ones. The key incentive to participate in IADA is that students trying out the innovative assessment are not required to also take the state's current assessment. However, states approved for IADA must still show that their innovative assessments meet most requirements for federal accountability, and they are expected to implement the new assessments statewide within 5 years. This report describes the progress of the first five assessment systems approved under IADA in order to help policymakers consider expanding the program to more states. The report is primarily based on an analysis of states' IADA applications and performance reports to the U.S. Department of Education through the 2020-2021 school year and is part of a broader evaluation of IADA required by Congress. [For the Appendix, see ED627873. For the Study Highlights, see ED627880.]
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This paper contributes to conceptualization of information system resilience. By building upon and extending the framework of Heeks and Ospina (2019), we argue that an information system's ability to be resilient lies in its balance between stability and flexibility. Based on empirical findings we suggest that a stable core and flexibility to change is crucial when a digital system is faced with unforeseen adversities. We hope to contribute to more theorizing of the information system resilience and inspire further research on this subject. The paper may also have practical value for stakeholders working with implementation of national information systems in the health sector. This is a qualitative case study conducted together with the Health Information Systems Programme (HISP) at the Institute of Informatics, University of Oslo. Our findings are based on empirical insights related to the DHIS2 software during the Covid-19 response. © 2022 Owner/Author.
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This study aimed to assess the impact of COVID-19 on recovery housing (RH), an important resource for individuals in recovery from substance use disorder (SUD). A cross-sectional survey was disseminated electronically between June and July of 2020 to RH owners and operators affiliated with Oxford House or the National Alliance of Recovery Residences nationwide. The survey intended to develop an understanding of the impact of COVID-19 on RH in terms of (a) resident housing access, (b) mitigation strategies to reduce COVID-19 spread, (c) RH financials, and (d) health and well-being of residents and staff. Impacts were assessed among all houses in the sample and then by rurality of RH location (rural vs. nonrural). Among 1,419 respondents, only 4.6% reported positive COVID-19 cases, and 85% reported having implemented centers for disease control-recommended policies. More than half (59%) reported financial impacts, and close to half (49%) reported COVID-19 had "a lot of impact" on residents attending meetings. Rural RH represented only 9% of respondents and a greater fraction of rural RH respondents reported spending more on all COVID-19 expense categories compared to nonrural RH respondents. Compared to nonrural RH, rural RH were significantly more likely to report having a process for evaluating COVID-19 (p = .007), wearing masks (p = .047), taking temperatures (p = .042), and spending more on food due to COVID-19 (p = .015). With SUD rates and the associated morbidity and mortality from SUD continuing to rise, addressing the financial viability of RH, an important resource supporting individuals in recovery is crucial. (PsycInfo Database Record (c) 2023 APA, all rights reserved) Impact Statement This study suggests that recovery housing, an important resource for individuals seeking or in recovery from a substance use disorder (SUD), is proactive in ensuring resident safety during national emergencies such as COVID-19. The most prominent impacts found in this study were financial (for the recovery home) and residents' ability to attend mutual aid recovery support meetings. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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Online and distance learning classes have been touted for the last several years as an innovation in higher education that should help improve the entrepreneurial growth mindset of students. However, the reported negative online learning experience of many college students worldwide during the COVID-19 epidemic has shown that many opportunities remain to improve the sustainable development and growth of online visual instruction practices. In this study, we outline and investigate a set of hypotheses related to the perceived usefulness and perceived ease of use (from TAM) of online video instruction in higher education courses during the pandemic. We employ grounded theory using autoethnographic case studies as a data source. We found that (a) synchronous broadcast lectures improve participant attitude (H1) and motivation (H2) toward online instruction, (b) prerecorded video instruction increases participant perceived "ease of use" (H3) and perceived behavioral control (H4) of online instruction, but (c) indicators of recorded dates on pre-recorded video instruction decreases participant perceived "usefulness" (H5) and "certainty" (H6) of online instruction. We enrich the insights of popular motivation models for organizations and the higher education industry by outlining a set of emotional elements originating in neuroscience leadership research (SCARF) that might either amplify or diminish the perceived the ease of use and perceived usefulness to technology usage relationships when participations engage in online learning situations.
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This study examined psychological health and coping strategies among faculty and staff at a Saudi Arabian university. A web-based self-administered survey was used to assess probable anxiety, depression, post-traumatic stress disorder (PTSD), and coping strategies by using the Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), Impact of Event Scale-Revised (IES-R), and Brief-COPE scale, respectively. Of 502 participants (mean age 36.04 ± 10.32 years, male: 66.3%), 24.1% (GAD-7 ≥ 10) had probable anxiety. Anxiety score was significantly higher in females (p < 0.001), those with a history of COVID-19 infection (p = 0.036), and participants with less work experience (p = 0.019). Approximately 40% of participants met the criteria of probable depression, with females (p < 0.001) and participants with less experience having more depressive symptoms. Around one-fourth (27.7%) of study participants indicated probable PTSD (score ≥ 33), with higher symptoms in females (p <0.001), less experienced staff (p < 0.001), and academic staff (p = 0.006). Correlation analysis indicated a significant positive correlation between anxiety and depression (r = 0.844, p < 0.001), anxiety and PTSD (r = 0.650, p < 0.001), and depression and PTSD (r = 0.676, p < 0.001). Active coping, religious/spiritual coping, and acceptance were common coping strategies, while substance use was the least adopted coping method among the study participants. This study indicated a high prevalence of probable psychological ailments among university staff.
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Background: Nurses and other first responders are at high risk of exposure to the SARS-CoV2 virus, and many have developed severe COVID-19 infection. A better understanding of the factors that increase the risk of infection after exposure to the virus could help to address this. Although several risk factors such as obesity, diabetes, and hypertension have been associated with an increased risk of infection, many first responders develop severe COVID-19 without established risk factors. As inflammation and cytokine storm are the primary mechanisms in severe COVID-19, other factors that promote an inflammatory state could increase the risk of COVID-19 in exposed individuals. Alcohol misuse and shift work with subsequent misaligned circadian rhythms are known to promote a pro-inflammatory state and thus could increase susceptibility to COVID-19. To test this hypothesis, we conducted a prospective, cross-sectional observational survey-based study in nurses using the American Nursing Association network. Method(s): We used validated structured questionnaires to assess alcohol consumption (the Alcohol Use Disorders Identification Test) and circadian typology or chronotype (the Munich Chronotype Questionnaire Shift -MCTQ-Shift). Result(s): By latent class analysis (LCA), high-risk features of alcohol misuse were associated with a later chronotype, and binge drinking was greater in night shift workers. The night shift was associated with more than double the odds of COVID-19 infection of the standard shift (OR 2.67, 95% CI: 1.18 to 6.07). Binge drinkers had twice the odds of COVID-19 infection of those with low-risk features by LCA (OR: 2.08, 95% CI: 0.75 to 5.79). Conclusion(s): Working night shifts or binge drinking may be risk factors for COVID-19 infection among nurses. Understanding the mechanisms underlying these risk factors could help to mitigate the impact of COVID-19 on our at-risk healthcare workforce.Copyright © 2023 The Authors. Alcohol: Clinical and Experimental Research published by Wiley Periodicals LLC on behalf of Research Society on Alcohol.
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Introduction: The covid-19 disease can be prevented, including by knowledge and public compliance, especially with adolescents in efforts to prevent Covid-19 disease. A preliminary survey of 40 adolescents showed that 30% of teenagers are knowledgeable and 60% of teenagers in Bangkalan are non-compliant in covid-19 prevention efforts. This study aimed to determine the level of compliance to prevent Covid-19. Methods: This research was conducted using a quantitative descriptive survey method. The population and sample were taken by simple random sampling, namely, all adolescents aged 14-21 years in Bangkalan as many as 200 respondents. The instrument uses a questionnaire about Covid-19 prevention efforts. Quantitative data analysis by calculating the frequency of values in a variable. Results: The results showed that 66% of adolescents washed their hands, 95.5% stated that they already knew how to wash their hands properly, and 96.5% used clean water and soap to wash their hands. All adolescents still leave the house, 46% avoid crowds and 97% have kept their distance. 96.5% of adolescents used masks when leaving the house. 84.5% of respondents exercised during a pandemic. 64% of respondents consume nutritious food, exercise, and add vitamins to maintain their immunity, and 59% wear masks, wash their hands and keep a suitable distance health protocol as an effort to prevent Covid-19. Conclusion: The level of adolescent adherence is very good in terms of all aspects of the efforts to prevent Covid-19 except for the physical distancing aspect, so there is a need for increased socialization to eliminate the stigma about physical distancing. [ FROM AUTHOR] Copyright of Malaysian Journal of Medicine & Health Sciences is the property of Universiti Putra Malaysia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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COVID-19 and closures of in-person interactions with support programs, education providers, government services, and consumer offerings have raised concerns that vulnerable populations may not be able to mitigate the effects of the digital divide. Our chapter discusses the digital divide with a focus on programs for adult learners who have not completed high school. These include literacy, high school completion, and vocational programs. We look specifically at Ontario as a case sample that shares similarities with programs across Canada. These programs are operated by community-based non-profits, school boards, and community colleges. They are usually marginalized within the broader education system and have not been considered as part of comprehensive supports and initiatives when schools and post-secondary institutions were closed. The digital inequalities learners experience have parallels in the very programs they attend to mitigate their own digital learning divide. © Springer Nature Switzerland AG 2021. All rights reserved.
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Water use was impacted significantly by the COVID-19 pandemic. Although previous studies quantitatively investigated the effects of COVID-19 on water use, the relationship between water-use variation and COVID-19 dynamics (i.e., the spatial-temporal characteristics of COVID-19 cases) has received less attention. This study developed a two-step methodology to unravel the impact of COVID-19 pandemic dynamics on water-use variation. First, using a water-use prediction model, the water-use change percentage (WUCP) indicator, which was calculated as the relative difference between modeled and observed water use, i.e., water-use variation, was used to quantify the COVID-19 effects on water use. Second, two indicators, i.e., the number of existing confirmed cases (NECC) and the spatial risk index (SRI), were applied to characterize pandemic dynamics, and the quantitative relationship between WUCP and pandemic dynamics was examined by means of regression analysis. We collected and analyzed 6-year commercial water-use data from smart meters of Zhongshan District in Dalian City, Northeast China. The results indicate that commercial water use decreased significantly, with an average WUCP of 59.4%, 54.4%, and 45.7%during the three pandemic waves, respectively, in Dalian. Regression analysis showed that there was a positive linear relationship between water-use changes (i.e., WUCP) and pandemic dynamics (i.e., NECC and SRI). Both the number of COVID-19 cases and their spatial distribution impacted commercial water use, and the effects were weakened by restriction strategy improvement, and the accumulation of experience and knowledge about COVID-19. This study provides an in-depth understanding of the impact of COVID-19 dynamics on commercial water use. The results can be used to help predict water demand under during future pandemic periods or other types of natural and human-made disturbance.
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After some time of lockdown experiences, limited attention for feedback and the absence of feedback digitalization frameworks suggests rethinking traditional feedback practices toward post-pandemics digital/hybrid education. This research surveyed feedback digitalization needs in the context of online education in high education institutions in the Netherlands and Germany during the COVID-19 pandemic. The dimensions surveyed included preferences for feedback such as typology of feedback (e.g., cognitive, behavioral, etc.), formats (e.g., written, audio, video), online instruments, and features for communicating feedback. The results suggest that online instruments supporting features for effortless interactivity are among the highly preferred digital options for giving/receiving feedback. When given online, inclusive formats of feedback that inform learners not only about their own but also peer performance were also found to be among highly rated options. The increased need for inclusive feedback with peers, however, may also negatively affect students' mastery orientations. Thus, balancing online with offline approaches should also be recommended when considering feedback digitalization approaches. © 2023 by the authors.
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Background:It is widely recognised that policymakers use research deemed relevant, yet little is understood about ways to enhance perceived relevance of research evidence. Observing policymakers' access of research online provides a pragmatic way to investigate predictors of relevance.Aims and objectives:This study investigates a range of relevance indicators including committee assignments, public statements, issue prevalence, or the policymaker's name or district.Methods:In a series of four rapid-cycle randomised control trials (RCTs), the present work systematically explores science communication strategies by studying indicators of perceived relevance. State legislators, state staffers, and federal staffers were emailed fact sheets on issues of COVID (Trial 1, N = 3403), exploitation (Trial 2, N = 6846), police violence (Trial 3, N = 3488), and domestic violence (Trial 4, N = 3888).Findings:Across these trials, personalising the subject line to the legislator's name or district and targeting recipients based on committee assignment consistently improved engagement. Mentions of subject matter in public statements was inconsistently associated, and state-level prevalence of the issue was largely not associated with email engagement behaviour.Discussion and conclusions:Together, these results indicate a benefit of targeting legislators based on committee assignments and of personalising the subject line with legislator information. This work further operationalises practical indicators of personal relevance and demonstrates a novel method of how to test science communication strategies among policymakers. Building enduring capacity for testing science communication will improve tactics to cut through the noise during times of political crisis.
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Background Methods Results Conclusions The SARS‐CoV‐2/COVID‐19 pandemic has been associated with increased stress levels and higher alcohol use, including in pregnant and postpartum women. In the general population, alcohol use is associated with dysregulation in the autonomic nervous system (ANS), which is indexed by heart rate variability (HRV). The objectives of this study were to: (1) characterize changes in substance use during the SARS‐CoV‐2/COVID‐19 pandemic via a baseline self‐report survey followed by mobile ecological momentary assessment (mEMA) of substance use;and (2) examine the associations between momentary substance use and ambulatory HRV measures in pregnant and postpartum women.Pregnant and postpartum women were identified from the ENRICH‐2 prospective cohort study. Participants were administered a baseline structured phone interview that included the Coronavirus Perinatal Experiences (COPE) survey and ascertained the prevalence of substance use. Over a 14‐day period, momentary substance use was assessed three times daily, and HRV measurements were captured via wearable electronics. Associations between momentary substance use and HRV measures (root mean square of successive differences [RMSSD] and low frequency/high frequency [LF/HF] ratio) were examined using a mixed effects model that included within‐subject (WS) and between‐subject (BS) effects and adjusted for pregnancy status and participant age.The sample included 49 pregnant and 22 postpartum women. From a combination of a baseline and 14‐day mEMA surveys, 21.2% reported alcohol use, 16.9% reported marijuana use, and 8.5% reported nicotine use. WS effects for momentary alcohol use were associated with the RMSSD (β = −0.14;p = 0.005) and LF/HF ratio (β = 0.14;p = 0.01) when controlling for pregnancy status and maternal age. No significant associations were observed between HRV measures and instances of marijuana or nicotine use.These findings highlight the negative effect of the SARS‐CoV‐2/COVID‐19 pandemic on the psychological health of pregnant and postpartum women associated with substance use, and in turn, ANS dysregulation, which potentially puts some women at risk of developing a substance use disorder. [ FROM AUTHOR] Copyright of Alcoholism: Clinical & Experimental Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Background: Covid-19 cases had drastically increased. Little therapy has been formulated to respond to the situation. Aims: This study aims to illustrate the pattern of drug use in Covid-19 patients at Undata Palu Hospital. Methods: This study is a type of cross-sectional descriptive study using a cross-sectional design and collecting data retrospectively from medical records at Undata Hospital Palu in 2020. Results: In 2020, 186 patients were confirmed positive for Covid-19. There were 95 female patients (51.9%) and 50 patients at the age of 46-55 years (27.3%). The severe symptoms happened to 109 patients (59.6%). The most common clinical manifestation was cough in 127 patients (23.3%). The most common comorbidity was pneumonia (30.8%). The most widely used primary therapy was the antibiotic azithromycin applied to 155 patients (30.0%), and the most widely used supportive therapy was vitamin C among 141 patients (20.1%). Oseltamivir antiviral therapy was administered to 132 patients (25.6%) and remdesivir to 34 patients (6.6%). Conclusion: Covid-19 patients were mostly treated with antibiotic therapy (41.5%), antiviral therapy (32.2%), antimalarial therapy (15.7%), and corticosteroid therapy (10.7%). As many as 132 patients took oseltamivir, and 34 patients took remdesivir. However, for now, oseltamivir is no longer used. © 2022, Airlangga University. All rights reserved.
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Machine learning models can use information from gene expressions in patients to efficiently predict the severity of symptoms for several diseases. Medical experts, however, still need to understand the reasoning behind the predictions before trusting them. In their day-to-day practice, physicians prefer using gene expression profiles, consisting of a discretized subset of all data from gene expressions: in these profiles, genes are typically reported as either over-expressed or under-expressed, using discretization thresholds computed on data from a healthy control group. A discretized profile allows medical experts to quickly categorize patients at a glance. Building on previous works related to the automatic discretization of patient profiles, we present a novel approach that frames the problem as a multi-objective optimization task: on the one hand, after discretization, the medical expert would prefer to have as few different profiles as possible, to be able to classify patients in an intuitive way;on the other hand, the loss of information has to be minimized. Loss of information can be estimated using the performance of a classifier trained on the discretized gene expression levels. We apply one common state-of-the-art evolutionary multi-objective algorithm, NSGA-II, to the discretization of a dataset of COVID-19 patients that developed either mild or severe symptoms. The results show not only that the solutions found by the approach dominate traditional discretization based on statistical analysis and are more generally valid than those obtained through single-objective optimization, but that the candidate Pareto-optimal solutions preserve the sense-making that practitioners find necessary to trust the results. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.