Old people's preference for nursing homes in East China: a discrete choice experiment

BACKGROUND

The aged people who live in nursing home are predicted to keep growing in the following decades. There are both quantitative imbalance and structural imbalance in the utilization of nursing homes in China. This study aimed to analyze old people's preference for nursing homes and help the government optimize resource allocation.

METHODS

A discrete choice experiment (DCE) was conducted and six attributes of nursing homes including monthly fee, distance from home, geographical location, medical facilities, environment of nursing homes and nursing staff were determined. Respondents were recruited from Nantong and Yangzhou city, China. In each city, two communities or villages were randomly selected. In each community/village, about 65 old people were randomly selected. Analysis was conducted using mixed logit regression models to determine preferences for potential attributes.

RESULTS

A total of 233 old people were included in the analysis. The findings indicated that all six attributes were statistically significant factors for participants. "Professional nursing staff" was the most important characteristic to participants, followed by "Medical facilities". Compared with female, the males preferred professional nursing staff (β = 2.939 vs. β = 2.643, P < 0.001), medical facilities (β = 1.890 vs. β = 1.498, P < 0.001), and the environment (β = 0.752, P < 0.01). For different age groups, participants aged 60-69 didn't pay attention to distance and location, while those aged 80 and above only paid attention to professional nursing staff and medical facilities.

CONCLUSIONS

The present study provides important insights into the characteristics of nursing home that are most preferred by old people. Authorities should take into account old people's preference in the planning, design and evaluation of nursing homes.

An 8-week community-based resilience group intervention for Chinese parents who lost their only child: A two-armed pragmatic waitlist-control trial

OBJECTIVE

This study developed and evaluated a structured, 8-week community-based resilience group intervention for Chinese parents who have lost their only child and exhibit extended bereavement and suboptimal levels of resilience.

METHOD

Eighty parents were recruited from two communities and allocated to the intervention group (n = 42) or the waitlist-control group (n = 38). The 8-week community-based resilience group intervention was developed based on Kumpfer's resilience theory and previous studies. The primary outcomes were resilience and depression, and the secondary outcomes were posttraumatic growth (PTG), subjective well-being (SWB), social avoidance (SAD), sleep quality, and serum dehydroepiandrosterone (DHEA) levels. Outcomes were assessed at four time points: before (T0), immediately after (T1), 3 months after (T2), and 12 months after (T3) the intervention. The data were analyzed following the intention-to-treat principle.

RESULTS

The general linear model results indicated a significant Group × Time interaction effect on resilience, depression, PTG, SWB, and SAD, with medium and large effect sizes (Cohen's d: 0.58-1.41). Those in the intervention group experienced better resilience from T1 to T2 and better depression, PTG, SWB, and SAD from T1 to T3 compared to the waitlist-control group. No significant differences were found between groups over time for sleep quality and DHEA levels.

CONCLUSIONS

This intervention effectively increased resilience by T2 and improved PTG, SWB, depression, and SAD by T3 compared with control group, which can be implemented in the local community setting and collaborated with social workers to assist bereaved parents in the future. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The agricultural carbon reduction effect of digital rural construction under the dual carbon target

The exploration of the agricultural carbon emission reduction effect of digital rural construction offers a promising path towards achieving dual carbon goals. This study establishes an evaluation system for digital rural construction and analyzes its impact on agricultural carbon emissions using various creative techniques including panel fixed effects, mediation effects, threshold effects, and spatial Durbin models based on provincial panel data from 2011 to 2021.It is found that: (1) The impact of digital rural construction on agricultural carbon emissions exhibits a "inverted U-shaped" pattern, with a nonlinear effect on emissions through promoting agricultural green total factor productivity and adjusting agricultural structure.(2) Digital rural construction has both promoting and inhibiting effects on agricultural carbon emissions, both locally and in adjacent areas. It also demonstrates a threshold effect, with rural human capital as the sole threshold. Once the threshold value 8.830 is surpassed, the agricultural carbon emission reduction effect becomes prominent.(3)Digital rural construction has a dual effect on local agricultural carbon emissions in terms of both promoting and then restraining the emissions, which has a spatial spill-over effect in the neighboring areas. This study contributes to our understanding of carbon reduction pathways by highlighting the comprehensive utilization of digital rural construction and expanding research on the dynamic context of its impact on carbon emissions.

Acute effects of different Tai Chi practice protocols on cardiac autonomic modulation

Tai Chi serves as an effective exercise modality for enhancing autonomic regulation. However, a majority of existing studies have employed the single routine (SR) protocol as the basis for health interventions. The extent to which the gong routine application (GRA) protocol achieves similar levels of exercise load stimulation as traditional single practice routines remains uncertain. Therefore, this study the distinct characteristics of autonomic load stimulation in these different protocols, thus providing a biological foundation to support the development of Tai Chi health promotion intervention programs. we recruited a cohort of forty-five university students to participate in the 15 min GRA protocol and SR protocol. We collected heart rate and heart rate variability indicators during periods of rest, GRA protocol, and SR protocol utilizing the Polar Scale. Additionally, we assessed the mental state of the participants using the BFS State of Mind Scale. In summary, the autonomic load is lower in the GRA protocol compared to the SR protocol, with lower sympathetic activity but higher parasympathetic activity in the former. Results are specific to college students, additional research is necessary to extend support for frail older adults. It is advised to incorporate GRA protocol alongside SR protocol in Tai Chi instruction. This approach is likely to enhance Tai Chi skills and yield greater health benefits.

The parallax: The possible errors in the quantification of human decision-making behavior in the experiment of neuroeconomics-A perspective from psychoanalysis

OBJECTIVE

With the development of neuroscience and technology, economics, which focuses on the selection and decision-making of human behavior, has also entered the field of neuroeconomics. Based on rational biological humans, neuroeconomics assumes that humans are rational biological individuals and behaviors of biological humans can be monitored and quantified in the nervous system through brain imaging technologies such as functional MRI and positron emission tomography.

METHOD

As an emerging discipline, neuroeconomics inevitably encounters obstacles in methodology and epistemology, showing excessive constraints in its understanding of rationality and facing basic conceptual disputes on the theoretical basis of "clear uncertainty monism." In neuroeconomics experiments, measurability will inevitably be traced back to quantification, but when faced with a complex and ever-changing social field, what can be predicted is only probability rather than behavior. Not all human behaviors and decisions can be quantified. Therefore, such research may be biased. Psychoanalysis, a major branch of psychology that is quite similar to neuroeconomics research in subject and object, can greatly correct these basic concepts.

RESULTS

Seen from the perspective of psychoanalysis, the existence of these unquantifiable things conversely plays a decisive role and cannot be ignored.

CONCLUSIONS

This article analyzes the core rational behavior detection of neuroeconomics from the perspective of psychoanalysis and proposes suggestions from the epistemology and methodology of experimental design as well as basic concept discrimination and so forth. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Asymmetric and time-frequency co-movements among innovation-themed investments and carbon emission efficiency: Thematic investing and hedging opportunities

This study is aimed at investigating the asymmetric and time-frequency co-movements and the hedge or safe-haven properties of carbon efficient indices, the MSCI ACWI Sustainable Impact, and MSCI World EGS indices, in relation to technology and innovation-themed investments. In doing so, the ADCC-GJR-GARCH and wavelet coherence techniques are applied to a daily return series ranging from January 2019 to January 2023. Findings of the ADCC-GJR-GARCH model show negative and insignificant asymmetric linkage among underlying indices during the sample period. The S&P 500 carbon efficient index (CEI) acts as a strong hedge or safe-haven for technology and innovation-themed indices during tranquil and tumultuous periods. The MSCI ACWI Sustainable Impact, MSCI World EGS, and carbon efficient indices except for S&P 500 CEI exhibit weak hedge or safe-haven attributes. Wavelet coherence reveals negative (positive) co-movements between the thematic and carbon efficient indices in short-term (medium-term and long-term) horizons with consistent leading behavior of thematic indices to carbon efficient indices outcomes. It justifies the presence of short-lived hedging or safe-haven characteristics in the thematic domain for investors. These strong and weak hedge or safe-haven characteristics of low carbon and sustainability indices reveal that adding low carbon efficient and sustainable investments to a portfolio result in considerable diversification benefits for investors who tend to take minimal risk in both tranquil and tumultuous periods. The current findings imply that financial institutions, thematic investing companies, and governments need to encourage carbon efficient technology transfer and innovation-themed investments by increasing the fund allocations in underlying asset classes. Policy-making and regulatory bodies can encourage investors to make carbon-efficient and thematic investments and companies to issue carbon-efficient stocks or investments to safeguard social and economic risks during fragile periods. These investments can offer greater opportunities to combat the intensity of economic shocks on portfolios for responsible or sustainable investors.

The effectiveness of legal framework of Arctic vessel-source black carbon governance

The Arctic is particularly vulnerable to the impacts of climate change, of which vessel-source black carbon aerosols serving as a prominent catalyst for these changes. This situation is poised to worsen as sea ice melts and shipping lanes change. Rapid action aimed at mitigating short-term climate forcing factors can yield almost immediate climate benefits in the Arctic. This article provides an overview of the legal framework governing black carbon in the Arctic, considering three distinct perspectives: the global, regional, and national dimensions. These perspectives encompass global forums represented by the International Maritime Organization (IMO) and the United Nations Framework Convention on Climate Change (UNFCCC), with a focus on recent developments concerning black carbon governance, notably the amendments to MARPOL Annex VI and Annex I. Regionally, forums represented by the Arctic Council and the European Union are examined. Black carbon emissions exhibit migratory characteristics, yet the primary legal responsibilities for emission reduction are concentrated within Arctic states. Therefore, this article also delves into the laws and practices of Arctic coastal states in their efforts to combat black carbon emissions, using Canada and Norway as examples. The analysis of institutional effectiveness in this article indicates that, at present, specialized legislation on black carbon is either vague or non-existent. The current Arctic ship-source black carbon governance system faces issues related to leadership ambiguity in its institutional structure, a limited scope of responsible entities, and a lack of diverse implementation measures. Simultaneously, the governance system is questioned for having weak or non-legally binding regulations at the level of legal enforcement. The article anticipates the introduction of more mandatory regulations while also encouraging the selection of non-coercive policy tools. Accordingly, this article argues that a coordinated governance system centered on IMO and the Arctic Council needs to be established. Such a framework should adopt a more inclusive approach to stimulate positive interactions between regulations, aiming to create a broader winning alliance based on the existing foundations.

The Phenomenon and Determinants of Healthcare Service Utilization for Older Adults With Multimorbidity in China: An Explanatory, Mixed-Method Study

OBJECTIVES

The objective of this study was to explore the phenomenon and determinants of healthcare service utilization in Chinese older adults with multimorbidity.

METHODS

We adopted a mixed-methods explanatory design from July 2022 to May 2023. The quantitative research was a social network analysis to explore the phenomenon of healthcare service utilization in target participants. The quantitative results were further interpreted as the participant's propensity for healthcare services and the potential for information sharing between healthcare providers through shared patients. Logistic regression was conducted to identify individual determinants for healthcare service utilization. The quantitative research was followed by qualitative interviews with stakeholders to deeply understand the phenomenon of interest from the individual, healthcare system, and societal perspectives.

RESULTS

We recruited 321 participants for the quantitative study. They preferred using medication services from primary healthcare providers, pharmacists at private pharmacies, and hospital specialists, and preferred using other services from hospital specialists. Dense relationships arose from shared patients among healthcare providers across various professions and settings, making it possible to share patient information. Primary healthcare providers were particularly important in the process, as they were closely related to others through patient sharing. Health status was identified through logistic regression and qualitative interviews as an individual determinant for healthcare service utilization. More determinants were explored in qualitative interviews with 30 stakeholders, including trust, resource allocation, healthcare accessibility, medical treatment process, and healthcare awareness.

DISCUSSION

Strategies should be proposed to intervene with patients' nonoptimal propensity toward healthcare services and promote information sharing among healthcare providers.

Finger motor representation supports the autonomy in arithmetic: neuroimaging evidence from abacus training

Researches have reported the close association between fingers and arithmetic. However, it remains unclear whether and how finger training can benefit arithmetic. To address this issue, we used the abacus-based mental calculation (AMC), which combines finger training and mental arithmetic learning, to explore the neural correlates underlying finger-related arithmetic training. A total of 147 Chinese children (75 M/72 F, mean age, 6.89 ± 0.46) were recruited and randomly assigned into AMC and control groups at primary school entry. The AMC group received 5 years of AMC training, and arithmetic abilities and resting-state functional magnetic resonance images data were collected from both groups at year 1/3/5. The connectome-based predictive modeling was used to find the arithmetic-related networks of each group. Compared to controls, the AMC's positively arithmetic-related network was less located in the control module, and the inter-module connections between somatomotor-default and somatomotor-control modules shifted to somatomotor-visual and somatomotor-dorsal attention modules. Furthermore, the positive network of the AMC group exhibited a segregated connectivity pattern, with more intra-module connections than the control group. Overall, our results suggested that finger motor representation with motor module involvement facilitated arithmetic-related network segregation, reflecting increased autonomy of AMC, thus reducing the dependency of arithmetic on higher-order cognitive functions.

How to achieve green development? A study on spatiotemporal differentiation and influence factors of green development efficiency in China

For a long time, China 's extensive economic development model has produced a large amount of emissions, which has brought indelible damage to the environment. Green development is of vital importance for China to achieve high-quality development, and it is the core of alleviating environmental problems and promoting sustainable development. How to achieve China 's green development requires us to evaluate the level of green development in China 's provinces and analyze the reasons. In this study, an evaluation index system including undesired output of green development efficiency is constructed, and then the Supe-SBM model is used to assess the green development efficiency of 30 Chinese provinces. This paper also discusses the spatial and temporal differences as well as the factors affecting green development efficiency of green development efficiency among provinces. The findings demonstrate: (1) The green development efficiency in the eastern region is the highest, followed by the western region, while the central region has the lowest, but they all show a downward trend. (2) The spatial characteristics of green development efficiency are remarkable, according to the Global Moran's I index. However, the results of local spatial agglomeration demonstrate "small agglomeration and large dispersion," with the majority of provinces exhibiting L-L agglomeration. (3) Technological Progress, Opening Up, Urbanization Level are positively correlated with the green development efficiency. Industrial Structure, Financial Development, Energy Structure and green development efficiency are significantly negatively correlated, while Environmental Regulation shows no significant impact.

Cumulative ecological risk and nonsuicidal self-injury in adolescents: The mediation of depression and the moderation of impulsiveness

BACKGROUND

This study is based on the biosocial model of nonsuicidal self-injury (NSSI), to explore the effects of cumulative ecological risk on adolescents' NSSI, the mediating effect of depression between cumulative ecological risk and adolescents' NSSI, and the moderating role of impulsiveness in this mediating pathway.

METHODS

A total of 16 508 adolescents, with 7903 males (47.9%), participated in the study and completed the Cumulative Ecological Risk Questionnaire, the Short Form of the Center for Epidemiological Studies Depression Scale, the Impulsiveness assessment, and the Nonsuicidal Self-Injury Scale.

RESULTS

(1) There was a significant positive correlation between cumulative ecological risk, depression, impulsiveness, and NSSI; (2) cumulative ecological risk significantly predicted adolescents' NSSI; (3) depression had a mediating effect between cumulative ecological risk and adolescents' NSSI; and (4) impulsiveness moderated both the effects of cumulative ecological risk on adolescents' depression and NSSI and the effects of depression on NSSI in adolescents.

CONCLUSIONS

Impulsiveness and depression are risk factors for adolescent NSSI and play a crucial role between cumulative ecological risk and NSSI in adolescents.

No need to integrate action information during coarse semantic processing of man-made tools

Action representation of man-made tools consists of two subtypes: structural action representation concerning how to grasp an object, and functional action representation concerning the skilled use of an object. Compared to structural action representation, functional action representation plays the dominant role in fine-grained (i.e., basic level) object recognition. However, it remains unclear whether the two types of action representation are involved differently in the coarse semantic processing in which the object is recognized at a superordinate level (i.e., living/non-living). Here we conducted three experiments using the priming paradigm, in which video clips displaying structural and functional action hand gestures were used as prime stimuli and grayscale photos of man-made tools were used as target stimuli. Participants recognized the target objects at the basic level in Experiment 1 (i.e., naming task) and at the superordinate level in Experiments 2 and 3 (i.e., categorization task). We observed a significant priming effect for functional action prime-target pairs only in the naming task. In contrast, no priming effect was found in either the naming or the categorization task for the structural action prime-target pairs (Experiment 2), even when the categorization task was preceded by a preliminary action imitation of the prime gestures (Experiment 3). Our results suggest that only functional action information is retrieved during fine-grained object processing. In contrast, coarse semantic processing does not require the integration of either structural or functional action information.

Development of youth tennis players: A study based on the ranking history of top ATP/WTA players worldwide and China

BACKGROUND

The top 100 ATP/WTA ranking points are a crucial indicator of entry into the high-level world of tennis players, and the number of players from a nation in this ranking reflects the overall level of their tennis. However, the growth time series characteristics of elite tennis athletes are unclear.

OBJECTIVE

This study aims to examine the historical career ranking changes of elite players and provide valuable insights for aspiring young players looking to achieve success in the sport. At the same time, it is of great significance for the efficient and sustainable cultivation of Chinese tennis players.

METHODS

Data on the rankings of 202 players were analyzed, Spearman and Pearson correlations were employed to investigate the association between ranking and time-use patterns. The variance test was utilized to compare disparities in time characteristics of the ranking, with a statistical significance level of p<0.05.

RESULTS

There was a significant correlation between the time of entering the professional tournament ranking system and the ranking, top 100 time, top 100 age, and age of starting tennis. Top 50 ATP players are earlier than those ranked 51-100. There was a significant difference between the age of starting tennis and the time to top 10 among the ATP and WTA players. Chinese female players showed no significant differences compared to their global Top 10 counterparts in terms of time-to-success characteristics.

CONCLUSION

The elite tennis players who achieve success typically start playing and competing in the sport at a young age, with professional competition often commencing around 18 years of age. Notably, these players frequently attain high rankings before reaching the age of 20. Furthermore, top 10 ATP male players tend to start tennis at an earlier age and require a shorter time to achieve a top 10 ranking compared with WTA female players.

On the determination and rank for the environmental risk aspects for ship navigating in the Arctic based on big Earth data

The unique, ambiguous, and complex navigable environment determines the essential difference between Arctic shipping routes and conventional routes in regard to safety issues. To achieve a scientific understanding of the characteristics and variations of environmental risks involved in the Arctic shipping, it is essential to rationally address the uncertainty and incompleteness of environment-related risk information. In this study, fuzzy evidential reasoning is introduced to carry out multisource heterogeneous data fusion and spatiotemporal dynamic assessment of navigable environmental risks for Arctic shipping routes. Based on big Earth data collected from the European Center for Medium-Range Weather Forecasts, National Snow And Ice Data Center, National Center for Environmental Information, and University of Bremen from 2012 to 2019, a case study of the Northeast Passage is considered to demonstrate the feasibility of the proposed methodology. Finally, the results are described from three aspects: spatial distribution, temporal changes, and sensitivity analysis, with consideration of the entire passage and five marginal seas at the same time. Based on these findings, the prospect of application of big Earth data in risk assessment is further discussed from two aspects of knowledge acquisition by big data and risk analysis at different scales, to inspire sustainable development of Arctic shipping.

Healthcare for Older Adults with Multimorbidity: A Scoping Review of Reviews

Purpose

To summarize adverse healthcare outcomes experienced by older adults with multimorbidity and barriers perceived by stakeholders regarding the healthcare systems primarily designed to address individual health conditions. Healthcare elements that aim to provide coordinated, continuous, and comprehensive services for this population were also identified.

Patients and Methods

We applied the methodology framework developed by Arksey and O'Malley to guide the review. The three-step search strategy was used to identify relevant English reviews that focused on adverse healthcare outcomes and barriers encountered by older adults with multimorbidity and other stakeholders regarding the single-disease-focused healthcare systems, as well as those concentrated on healthcare elements that aim to provide coordinated, continuous, and comprehensive services for older adults with multimorbidity. Five electronic databases, including PubMed/Medline, CINAHL, Web of Science Core Collection, Cochrane Library, and Embase, were systematically searched from database inception to February 2022. A standardized table was used to extract data. Thematic analysis was then conducted under the guidance of the Rainbow Model of Integrated Care and the Chronic Care Model.

Results

Twenty reviews were included in this study. Therapeutic competitions, high healthcare service utilization, and high healthcare costs were three adverse healthcare outcomes experienced by patients. Both patients and healthcare professionals faced various barriers. Other stakeholders, including informal caregivers, healthcare managers, and policymakers, also perceived several barriers. Numerous healthcare elements were identified that may contribute to optimized services. The elements most frequently mentioned included the implementation of shared decision-making, comprehensive geriatric assessments, and individual care plans.

Conclusion

This study conducted a comprehensive overview of the current knowledge related to healthcare for older adults with multimorbidity. In the future, it is necessary to develop more coordinated, continuous, and comprehensive healthcare service delivery models based on the healthcare needs of older adults with multimorbidity and the specific characteristics of different countries.

Research on psychological attributions and intervention strategies of new energy hybrid vehicle purchase behavior

Based on the questionnaire survey, this paper developed a theoretical model of the factors influencing consumers' purchase behavior for new energy hybrid vehicles using the theory of planned behavior and structural equation modeling techniques. It then used SPSS and AMOS to perform factor analysis, model fitness, and path analysis to reach the following conclusions: perceived behavioral control, behavioral attitude, and subjective norm have a significant positive influence on behavioral intention, and behavioral intention has a significant influence on actual behavior. However, there is no significant effect of perceived behavioral control on actual purchase behavior, but rather an indirect effect on actual behavior through the mediating variable of behavioral intention. The analysis of the multi-group model based on the individual characteristics of consumers showed that the coefficient of subjective norm on behavioral intention was higher for extroverted consumers than for introverted consumers; the influence of behavioral attitude on behavioral intention was significantly higher for introverted consumers than for subjective norm on behavioral intention.

What were the spatiotemporal evolution characteristics and the influencing factors of urban land green use efficiency? A case study of the Yangtze River Economic Belt

China's rapid urbanization has had a tremendous impact on the country's limited land resources, and one of the major issues of green development is how to utilize the limited land resources to maximize social, economic, and environmental advantages. From 2005 to 2019, the super epsilon-based measure model (EBM) was employed to assess the green land use efficiency of 108 prefecture-level and above cities in the Yangtze River Economic Belt (YREB), as well as investigate its spatial and temporal evolution and influential factors. The findings demonstrate that overall, urban land green use efficiency (ULGUE) in the YREB has been ineffective; in terms of city scale, megacities have the highest efficiency, followed by large cities and small and medium-sized cities; and at the regional level, downstream efficiency does have the greatest average value, followed by upstream efficiency and middle efficiency. The results of temporal and spatial evolution reveal that the number of cities with a high ULGUE is increasing in general but that their spatial characteristics are relatively dispersed. Population density, environmental regulation, industrial structure, technology input, and the intensity of urban land investment all have major beneficial effects on ULGUE, whereas urban economic development level and urban land use scale clearly have inhibitory effects. In light of the previous conclusions, some recommendations are made to continuously improve ULGUE.

Enhanced intersubject similarity in functional connectivity by long-term abacus training

The individual difference of intrinsic functional connectivity is increasingly acknowledged to be biologically informative and behaviorally relevant. However, such valuable information is still discounted as a stochastic variation in previous studies of cognitive training. Here, we explored the plasticity of intersubject similarity in functional connectivity (ISFC), induced by long-term abacus-based mental calculation (AMC) training. Using a longitudinal dataset (AMC: n = 40, 5-year training; Control: n = 43), we found robust training effect of enhanced ISFC, after accounting for the factor of development. Notably, the enhancement focused on selective subsets of FCs, or the "critical FCs," which predominantly impacted the default-mode and visual networks. Using a cross-sectional dataset with a larger sample (AMC: n = 93, 1/3/5-year training; Control: n = 110), we observed that the "critical FCs" and its intersubject similarity could predict mental calculation ability and its intersubject similarity, respectively, in the AMC group. However, such predictions cannot be generalized to the control group, suggesting that long-term training may be a prerequisite for establishing such brain-behavior relationships. Jointly, our findings implicated that the enhanced ISFC with profound impact on the default-mode network could be a plastic change that is associated with behavioral gains of training.

2,4,6-Tri(2'-pyridyl)-1,3,5-triazine for determination of iron(II), Iron(III), and total iron contents on human palms

When iron-based tools, such as knives or guns, are held, traces of iron can transfer to the skin. However, no previous studies have been published regarding the effect of the elapsed contact time on the transfer of iron species with different valences to the palm. Compared with 3-(2-pyridyl)-5,6-diphenyl-1,2,4-triazine (PDT), 2,4,6-tri(2'-pyridyl)-1,3,5-triazine (TPTZ) was found to exhibit a higher sensitivity to iron(II) spectrophotometrically. This work employed 2,4,6-tri(2'-pyridyl)-1,3,5-triazine (TPTZ) and UV spectrophotometry to determine the amounts of iron(II), iron(III), and total iron transferred to human palms from iron tools. It was found that the palmar moisture level was an important factor in determining the amounts of total iron, including iron(II), transferred to the palm. For identical contact times, the amounts of total iron transferred to the palm was proportional to the palmar moisture, and the difference between the maximum and minimum amounts was 12 μg per hand. However, the amounts of iron(II) transferred to the palm gradually decreased over time for low palmar moisture levels, but steadily increased over time for high palmar moisture levels. Additionally, for average levels of palm moisture, the amounts of iron(II) and iron(III) transferred to the palm gradually decreased and increased, respectively, with longer contact times. Notably, this research could serve as a theoretical basis and guide for the detection of trace iron species with different valences on human palms for criminal investigations.

Continuous usage intention of mobile health services: model construction and validation

BACKGROUND

Mobile health (mHealth) services can not give full play to their value if only it is used in the short term, and their continuous usage can achieve better effects in health management. This study aims to explore the factors that affect continuous usage intentions of mHealth services and their mechanism of action.

METHODS

First, considering the uniqueness of health services and social environmental factors, this study constructed an extended Expectation Confirmation Model of Information System Continuance (ECM-ISC) to investigate factors that may influence the intention of continuous usage of mHealth services based on three dimensions, namely individual characteristics, technology and environment. Second, the survey method was used to validate the research model. The questionnaire items were derived from validated instruments and discussed by experts and data were collected both online and offline. The structural equation model was used for data analysis.

RESULTS

There were 334 avidity questionnaires through cross-sectional data and these participants had used mHealth services ever. The reliability and validity of the test model were good, in which Cronbach's Alpha values of 9 variables exceeded 0.9, composite reliability 0.8, the average variance extracted value 0.5, and the factor loading 0.8. The modified model had a good fitting effect and strong explanatory power. It accounted for 89% of the variance in expectation confirmation, 74% of the variance in perceived usefulness, 92% of the variance in customer satisfaction, and 84% of the variance in continuous usage intention. Compared with the initial model hypotheses, perceived system quality was deleted according to the heterotrait-monotrait ratio, so paths related to it were deleted; perceived usefulness wasn't positively associated with customer satisfaction, and its path was also deleted. Other paths were consistent with the initial hypothesis. The two new added paths were that subjective norm was positively associated with perceived service quality (β = 0.704, P < 0.001), and perceived information quality (β = 0.606, P < 0.001). Electronic health literacy (E-health literacy) was positively associated with perceived usefulness (β = 0.379, P < 0.001), perceived service quality (β = 0.200, P < 0.001), and perceived information quality (β = 0.320, P < 0.001). Continuous usage intention was influenced by perceived usefulness (β = 0.191, P < 0.001), customer satisfaction (β = 0.453, P < 0.001), and subjective norm (β = 0.372, P < 0.001).

CONCLUSIONS

The study constructed a new theoretical model including E-health literacy, subjective norm and technology qualities to clarify continuous usage intention of mHealth services, and empirically validated the model. Attention should be paid to E-health literacy, subjective norm, perceived information quality, and perceived service quality to improve continuous usage intention of users and self-management by mHealth Apps managers and governments. This research provides solid evidence for the validity of the expanded model of ECM-ISC in the mHealth field, which can be a theoretical and practical basis for mHealth operators' product research and development.

Stress mindset, proactive coping behavior, and posttraumatic growth among health care professionals during the COVID-19 pandemic

OBJECTIVE

Recent research suggests that stress mindset influences how people response to stress, however, there is a dearth of research investigates the underlying mechanism accounting for the effects of stress mindset on psychological health. The current research investigated how stress mindset and engagement in proactive coping behaviors predicted posttraumatic growth among health care professionals during the COVID-19 pandemic in China.

METHOD

Health care professionals (N = 589) from mainland China were invited to participate in this online study through completing the Stress Mindset Measure, Posttraumatic Growth Inventory (PTGI-X), and measurement on engagement in proactive coping behaviors and demographic variables at their convenience from July 9 to July 17, 2020.

RESULTS

Health care professionals reported high levels of posttraumatic growth at the total scale (58.6%), subdomains (84.9%). Age, stress mindset, and engagement in proactive coping behaviors were significant predictors of posttraumatic growth among health care professionals. Engagement in proactive coping behavior mediated the predicting effect of stress mindset on posttraumatic growth among health care professionals in China.

CONCLUSION

A stress-is-enhancing mindset predicts higher level of posttraumatic growth among health care professionals during the COVID-19 pandemic in China, and the effect was mediated by engagement in proactive coping behaviors. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Coordinating a three-level contract farming supply chain with option contracts considering risk-averse farmer and retailer

We considered a three-level contract farming supply chain comprising a risk-averse farmer, a risk-neutral supplier, and a risk-averse retailer. The farmer plants and grows fresh agricultural products with yield uncertainty, the supplier is the leader of the supply chain and the designer of the contracts, and the retailer sells processed products with random demand. Under CVaR criterion, this paper discusses three option contracts between the supplier and the retailer, as well as wholesale price contracts or replenishment cost-sharing contracts between the supplier and the farmer. Results show that when the farmer is risk-neutral, option contracts with or without replenishment cost-sharing contracts can maximize the total profit and increase the profits of all members simultaneously. When the farmer and the retailer are risk-averse, only option contracts with replenishment cost-sharing contracts can ensure supply chain full coordination and Pareto improvement by adjusting the option parameters and making the farmer's sharing ratio equal to his risk aversion coefficient. Moreover, through numerical analysis, we discovered that the interval of the Pareto improvement decreases with the retailer's risk aversion coefficient and the quantity loss rate, and increases with the farmer's risk aversion coefficient. The supplier will not be able to increase his own profits when the loss rate is excessively large. Therefore, the leader should consider the risk aversion degree of all parties and the quantity loss rate of fresh agricultural products before choosing contracts.

Is farmland financial innovation narrowing the urban-rural income gap? A cross-regional study of China

Over the past four decades, China’s economy has experienced tremendous economic growth but also a widening urban-rural income gap. Given the dilemma of the urban-rural income gap in China explained by neoclassical equilibrium theory, this paper attempts to provide a new theoretical explanation for the large-income gap between urban and rural areas in China. We select data from 30 provinces(cities) in China over the period from 2006 to 2017 as a sample to investigate whether and how the degree of farmland financial innovation narrows the urban-rural income gap. The results show that the coefficient for farmland financial innovation is significantly negative at the 1% level, signifying that financial innovation can narrow the urban-rural income gap in China. The mediation effect test provides evidence that farmland financial innovation narrows the urban-rural income gap by promoting the permanent migration of the labor force and upgrading the industrial structure. Our results indicate that the government should promote various forms of farmland financial innovation, establish rural property rights transaction system and free farmers from deep farmer-land attachment to realize permanent labor migration.

Psychometric properties of self-reported measures of active ageing: a systematic review protocol using COSMIN methodology

INTRODUCTION

Evaluation of active ageing is helpful in making public health policies, improving older adults' quality of life and confronting global ageing challenges. However, there remains no systematic review to summarise all active ageing assessment tools and report their psychometric properties. This study aims to apply the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) methodology to review the psychometric properties of active ageing assessment tools obtained by multiple validation studies.

METHODS AND ANALYSIS

Studies that aim to validate patient-reported outcome measures (PROMs) of active ageing in older adults aged 60 and over and report one or more psychometric properties are eligible for this systematic review. We will consider studies conducted in any country or setting published either in English or Chinese. The following databases will be searched: PubMed, EMBASE, CINAHL, Web of Science, Cochrane Library, ProQuest Dissertations and Theses, CNKI, and Wanfang. Data extraction, assessment of methodological quality, summary of the quality of PROMs and grading of quality of evidence will be conducted according to the COSMIN methodology.

ETHICS AND DISSEMINATION

This study will not collect individual data. Therefore, obtaining ethical approval is not applicable. The results will be disseminated through peer-reviewed journals and conferences and will help researchers choose active ageing assessment tools.

PROSPERO REGISTRATION NUMBER

CRD42021287395.

Exploring collective emotion transmission in face-to-face interactions

Collective emotion is the synchronous convergence of an effective response across individuals toward a specific event or object. Previous studies have focused on the transmission of cyber collective emotion; however, little attention has been paid to the transmission of collective emotion in face-to-face interactions. Using an experimental design, we examined how emotions are transmitted from some members to the whole group in face-to-face situations. We used a news report of a social event as an emotion stimulus to induce anger and disgust in 158 middle school students aged 12 to 15, with an average age of 13.20 years (SD = 0.651) We randomly assigned one-third of the participants to be "transmitters," while the others were "receivers." Transmitters shared their feelings with receivers; then, receivers communicated with other group members. The results indicated that negative collective emotions were transmitted from high- to low-intensity members, which converged through the effect of emotional contagion. It accumulated through the effect of an emotional circle, during which the feedback reinforced emotion intensity. The collective emotion transmission model comprised emotion diffusion, contagion, and accumulation. This model elucidates the intrinsic features of collective emotion transmission, enriches the research on collective emotion, and provides theoretical references for monitoring and managing future public events.

Human Factors Analysis for Maritime Accidents Based on a Dynamic Fuzzy Bayesian Network

Human factors are widely regarded to be highly contributing factors to maritime accident prevention system failures. The conventional methods for human factor assessment, especially quantitative techniques, such as fault trees and bow-ties, are static and cannot deal with models with uncertainty, which limits their application to human factors risk analysis. To alleviate these drawbacks, in the present study, a new human factor analysis framework called multidimensional analysis model of accident causes (MAMAC) is introduced. MAMAC combines the human factors analysis and classification system and business process management. In addition, intuitionistic fuzzy set theory and Bayesian Network are integrated into MAMAC to form a comprehensive dynamic human factors analysis model characterized by flexibility and uncertainty handling. The proposed model is tested on maritime accident scenarios from a sand carrier accident database in China to investigate the human factors involved, and the top 10 most highly contributing primary events associated with the human factors leading to sand carrier accidents are identified. According to the results of this study, direct human factors, classified as unsafe acts, are not a focus for maritime investigators and scholars. Meanwhile, unsafe preconditions and unsafe supervision are listed as the top two considerations for human factors analysis, especially for supervision failures of shipping companies and ship owners. Moreover, potential safety countermeasures for the most highly contributing human factors are proposed in this article. Finally, an application of the proposed model verifies its advantages in calculating the failure probability of accidents induced by human factors.

Impact of inclusive leadership on employee innovative behavior: Perceived organizational support as a mediator

Despite extensive literature on leadership and its impact employee innovative behavior, few studies have explored the relationship between inclusive leadership and employee innovative behavior. To address this gap, this study aimed to investigate how inclusive leadership influenced employee innovative behavior by examining perceived organizational support (POS) as a mediator. We used multi-wave and multi-source data collected at 15 companies in China to test our theoretical model. Results revealed that inclusive leadership had significantly positive effects on POS and employee innovative behavior. Furthermore, POS was positively related to employee innovative behavior and partially mediated the relationship between inclusive leadership and employee innovative behavior. We discussed implications and limitations of this study as well as avenues for future research.

Prevalence of low birth weight and its association with maternal body weight status in selected countries in Africa: a cross-sectional study

OBJECTIVES

The present study aimed to estimate the prevalence of low birth weight (LBW), and to investigate the association between maternal body weight measured in terms of body mass index (BMI) and birth weight in selected countries in Africa.

SETTING

Urban and rural household in Burkina Faso, Ghana, Malawi, Senegal and Uganda.

PARTICIPANTS

Mothers (n=11 418) aged between 15 and 49 years with a history of childbirth in the last 5 years.

RESULTS

The prevalence of LBW in Burkina Faso, Ghana, Malawi, Senegal and Uganda was, respectively, 13.4%, 10.2%, 12.1%, 15.7% and 10%. Compared with women who are of normal weight, underweight mothers had a higher likelihood of giving birth to LBW babies in all countries except Ghana. However, the association between maternal BMI and birth weight was found to be statistically significant for Senegal only (OR=1.961 (95% CI 1.259 to 3.055)).

CONCLUSION

Underweight mothers in Senegal share a greater risk of having LBW babies compared with their normal-weight counterparts. Programmes targeting to address infant mortality should focus on promoting nutritional status among women of childbearing age. Longitudinal studies are required to better elucidate the causal nature of the relationship between maternal underweight and LBW.

Effects of cognitive bias modification on social anxiety: A meta-analysis

Background

Cognitive bias modification (CBM), a set of techniques for modifying bias in information processing—is considered a novel intervention for social anxiety disorder (SAD), which has drawn considerable interest from researchers. However, the effects of CBM on SAD are not consistent. Some studies have demonstrated significant positive effects compared to control groups, while others have found no such effects.

Aims

We conducted a meta-analysis aimed at quantitatively assessing the effects of CBM on SAD at post-test.

Method

Through a systematic literature search by two independent raters, 34 articles (36 randomized studies) including 2,550 participants were identified. A multilevel modeling approach was employed to assess the effects of CBM on SAD, and to explore the potentially crucial procedures and sample characteristics that enhance the effectiveness of benign training.

Results

In general, there were small but significant effects of CBM on the primary symptoms of SAD (g = 0.17), cognitive bias (CB) toward threat (g = 0.32), and reactivity in stressful situations (g = 0.25), but non-significant effects on secondary symptoms. However, the interpretation modification program was more effective than was attentional bias modification in reducing SAD primary symptoms and negative CB. Laboratory training procedures produced larger primary symptom reductions compared to Internet-based training, whereas the percentage of contingency and feedback about training performance boosted cognitive effects only. Finally, the following groups were more likely to benefit from CBM: younger participants (primary symptoms and cognitive effects), women (primary symptom effects), and samples with stronger CB (stressor effects). The quality of the randomized controlled trials was less than desirable, as there was some indication of publication bias in our study.

Conclusions

Current findings broadly supported cognitive theories of SAD that consider a bidirectional or mutually reinforcing relationship between symptoms and CBs. However, the small therapeutic effect observed here indicates that it is necessary to develop more reliable and efficient CBM interventions that are specific to SAD.