Women health and microbiota:Different aspects of well-being

In this editorial,we comment on the article by Marano et al recently published in the World Journal of Gastroenterology 2023;29(45):5945-5952.We focus on the role of gut microbiota(GM)in women’s health,highlighting the need to thoroughly comprehend the sex differences in microbiota.Together,the host and GM support the host’s health.The microbiota components consist of viruses,bacteria,fungi,and archaea.This complex is an essential part of the host and is involved in neu-rological development,metabolic control,immune system dynamics,and host dynamic homeostasis.It has been shown that differences in the GM of males and females can contribute to chronic diseases,such as gastrointestinal,metabolic,neurological,cardiovascular,and respiratory illnesses.These differences can also result in some sex-specific changes in immunity.Every day,research on GM reveals new and more expansive frontiers,offering a wealth of innovative oppor-tunities for preventive and precision medicine.

Relationship Between Individuals’Epidemic Risk Perception Within Living Space and Subjective Well-Being:Empirical Evidence from China after the First Wave of COVID-19

It is common to observe the epidemic risk perception(ERP)and a decline in subjective well-being(SWB)in the context of public health events,such as Corona Virus Disease 2019(COVID-19).However,there have been few studies exploring the impact of individuals’ERP within living space on their SWB,especially from a geographical and daily activity perspective after the resumption of work and other activities following a wave of the pandemic.In this paper,we conducted a study with 789 participants in urban China,measuring their ERP within living space and examining its influence on their SWB using path analysis.The results indicated that individuals’ERP within their living space had a significant negative effect on their SWB.The density of certain types of facilities within their living space,such as bus stops,subway stations,restaurants,fast food shops,convenience shops,hospitals,and public toilets,had a significantly negative impact on their SWB,mediated by their ERP within living space.Additionally,participation in out-of-home work and other activities not only increased individuals’ERP within living space,but also strengthened its negative effect on their SWB.

Self-Compassion Moderates the Effect of Contingent Self-Esteem on Well-Being:Evidence from Cross-Sectional Survey and Experiment

Contingent self-esteem captures the fragile nature of self-esteem and is often regarded as suboptimal to psychological functioning.Self-compassion is another important self-related concept assumed to promote mental health and well-being.However,research on the relation of self-compassion to contingent self-esteem is lacking.Two studies were conducted to explore the role of selfcompassion,either as a personal characteristic or an induced mindset,in influencing the effects of contingent self-esteem on well-being.Study 1 recruited 256 Chinese college students(30.4%male,mean age=21.72 years)who filled out measures of contingent self-esteem,self-compassion,and well-being.The results found that self-compassion moderated the effect of contingent self-esteem on well-being.In Study 2,a sample of 90 Chinese college students(34%male,mean age=18.39 years)were randomly assigned to either a control or self-compassion group.They completed baseline trait measures of contingent self-esteem,self-compassion,and self-esteem.Then,they were led to have a 12-min break(control group)or listen to a 12-min self-compassion audio(self-compassion group),followed by a social stress task and outcome measures.The results demonstrated the effectiveness of the brief self-compassion training and its moderating role in influencing the effects of contingent self-esteem on negative affects after the social stress task.This research provides implications that to equip with a self-compassionate mindset could lower the risk of the impairment of well-being associated with elements of contingent selfesteem,which involves a fragile sense of self-worth.It may also provide insights into the development of an“optimal selfesteem”and the improvement of well-being.

Disparities in the impact of economic well-being on self-esteem in adulthood:Race and ethnicity

BACKGROUND Most studies have defined economic well-being as socioeconomic status,with little attention given to whether other indicators influence self-esteem.Little is known about racial/ethnic disparities in the relationship between economic wellbeing and self-esteem during adulthood.AIM To explore the impact of economic well-being on self-esteem in adulthood and differences in the association across race/ethnicity.METHODS The current study used data from the National Longitudinal Survey of Youth 1979.The final sample consisted of 2267 African Americans,1425 Hispanics,and 3678 non-Hispanic Whites.Ordinary linear regression analyses and logistic regression analyses were conducted.RESULTS African Americans and Hispanics were more likely to be in poverty in comparison with non-Hispanic Whites.More African Americans were unemployed than Whites.Those who received fringe benefits,were more satisfied with jobs,and were employed were more likely to have higher levels of self-esteem.Poverty was negatively associated with self-esteem.Interaction effects were found between African Americans and job satisfaction predicting self-esteem.CONCLUSION The role of employers is important in cultivating employees’self-esteem.Satisfactory outcomes or feelings of happiness from the workplace may be more important to non-Hispanic Whites compared to African Americans and Hispanics.

Exploring well-being disparities between urban and rural areas:A case study in the Stavropol Territory,Russia

Rural areas are crucial for a country’s sustainable economy.New strategies are needed to develop rural areas to improve the well-being of rural population and generate new job opportunities.This is especially important in countries where agricultural production accounts for a significant share of the gross product,such as Russia.In this study,we identified the key indicators of satisfaction and differences between rural and urban citizens based on their social,economic,and environmental backgrounds,and determined whether there are well-being disparities between rural and urban areas in the Stavropol Territory,Russia.We collected primary data through a survey based on the European Social Survey framework to investigate the potential differences between rural and urban areas.By computing the regional well-being index using principal component analysis,we found that there was no statistically significant difference in well-being between rural and urban areas.Results of key indicators showed that rural residents felt psychologically more comfortable and safer,assessed their family relationships better,and adhered more to traditions and customs.However,urban residents showed better economic and social conditions(e.g.,infrastructures,medical care,education,and Internet access).The results of this study imply that we can better understand the local needs,advantages,and unique qualities,thereby gaining insight into the effectiveness of government programs.Policy-makers and local authorities can consider targeted interventions based on the findings of this study and strive to enhance the well-being of both urban and rural residents.

A Review of Western and Eastern Traditional Views of Well-Being

This paper reviews traditional understanding of well-being from both Western and Eastern cultural perspectives. First, two distinct Western traditions in defining well-being are compared, namely hedonic and eudaemonic approaches. The hedonic approach defines happiness as the maximization of pleasure, while the eudaemonic approach regards happiness as the fulfillment of a person’s natural needs and overall flourishing. Second, the views of well-being in lens of Confucianism, Buddhism, and Taoism in the East are reviewed. The common and different understandings of well-being between Western and Eastern traditions are discussed as followed. Finally, two well-known operationalized definitions of well-being, that is subjective well-being and psychological well-being, proposed in the roots of Western traditions are elucidated.

The Relationship between Mental Health Literacy and Subjective Well-Being of Young and Middle-Aged Residents: Perceived the Mediating Role of Social Support and Its Urban-Rural Differences

This study investigates mental health literacy among young and middle-aged urban and rural residents and the differences in mental health literacy,perceived social support and subjective well-being.From January to February 2022,620 participants(320 rural and 300 urban residents)from three provinces of China were selected by con-venience sampling.A general data questionnaire,mental health literacy scale,perceived social support scale and subjective well-being scale were administered.The mental health literacy scores of urban residents were 3.34±0.57 and those of rural residents were 2.73±0.79.The results of multiple regression analysis showed that the mental health literacy scores of rural residents were more significant than those of urban residents in terms of sex and age,while urban residents’mental health literacy scores were more significant than those of rural resi-dents in terms of monthly income.Mental health literacy,perceived social support and subjective well-being of young and middle-aged urban and rural residents were all positively correlated(P<0.01).While the level of mental health literacy is better among urban residents than rural residents,perceived social support plays a partial mediating role between mental health literacy and subjective well-being of both urban and rural residents,and should be the focus of researchers seeking to improve the level of well-being of residents.

Study on the Relationships between Nurses' Job Burnout and Subjective Well-being

Objective： To study factors influencing nurses＇ job burnout and their subjective well-being and to explore the relationships between these two phenomena. Methods： A total of 250 nurses from three hospitals in Shandong were evaluated with the Maslach Burnout Inventory and a subjective well-being scale. Results： Nursing staff showed significantly different levels of job burnout （P〈0.05） according to the following characteristics： age, marital status, educational background, technical tide, years of nursing experience, monthly income, manning quotas and parental status. Level of burnout is higher for nursing staff who are under the age of 30 years, are unmarried, had secondary education, had unofficial manning quota status, are childless, hold a primary title and whose years of nursing experience are less than five years. Statistical significance was found for life satisfaction （P〈0.05） with differences in age; marital status; technical title; years of nursing experience; monthly income; manning quota status; and parental status in positive emotion, negative emotion and degree. There is a significant negative correlation between every dimension of job burnout and life satisfaction and positive emotions for subjective well-being. Every component of job burnout was significantly positively correlated with negative emotions. （P〈0.05） Conclusions： Age, marital status, educational background, technical rifle, years of nursing ex- perience, monthly income, manning quotas and parental status have different influences on occupation burnout and subjective well-being. Dimensions of occupation burnout have functions of predicting subjective well-being.

The Mediating Role of Religious Beliefs in the Relationship between Well-Being and Fear of the Pandemic

Religion is one of the social entities that has had a significant impact on the pandemic.The study’s goals are to investigate the relationship between well-being and fear of COVID-19,as well as to test whether religious beliefs mediate the effect of wellbeing on fear of COVID-19.The sample comprised of 433 participants in Vietnam.Independent Sample t-Test,One-way ANOVA,mediation analysis were used to analyze the data.In the levels of well-being,individuals who engage in religious services daily have higher levels than those hardly and never attend,and people from the age of 18 to 30 have higher levels than individuals from 31 to above 60 years.In addition,people aged from 51 to above 60 have higher levels of religious beliefs than people aged from 18 to 50.Females experience more fear of COVID-19 compared to males.The latter illustrates that religious beliefs mediate the effect of well-being on fear of COVID-19.Social workers and clinicians must prioritize older adults and people with chronic diseases for early mental interventions,and they should be aware of the role of religion in psychological treatment integration.

Children and Workers Well-Being in Belgian French-Speaking Primary Schools during the COVID-19 Pandemic

Purpose: During the COVID-19 pandemic, a significant number of measures were taken worldwide to limit the transmission of SARS-CoV-2, and in many ways, changed human life. All these measures had harmful consequences and impacted the well-being of many people. Children were one of the most vulnerable groups. We conducted the present study to assess children’s and staff’s well-being in French-speaking primary schools in Belgium during the COVID-19 pandemic. Methods: A 37-question questionnaire for each child based on the Revised Children’s Manifest Anxiety Scale (RCMAS), and a 14-question questionnaire for each staff based on the Hospital Anxiety and Depression (HAD) scale was undertaken in order to assess the well-being. Multiple logistic regressions were performed to assess the relationship between RCMAS or HAD and other explanatory variables. Staff reported their perception of their current life and their future life in 5 years on a Visual Analogue Scale (VAS). Results: A total of 231 children and 221 staff in 11 primary schools answered the well-being questionnaire between January and May 2021. 53% (122/231) of children had symptoms of anxiety. Girls reported more anxiety symptoms than boys (≥10: 59%;Adj OR = 2.25;95% CI [1.28;4.03]). 52% (120/231) of children had a definite state of social desirability. According to age, the youngest (6 - 7 years) children were more likely to have social desirability (≥5: 71%;Adj OR = 3.44;95% CI [1.53;8.09]) compared to the oldest (10 - 12 years). Children who did not practice outdoor/street activities were more likely to have social desirability (≥5: 60%;Adj OR = 2.59;95% CI [1.38;4.99]). In schools with a higher local incidence of SARS-CoV-2, children were more likely to have social desirability (≥5: 64%;Adj OR = 2.15;95% CI [1.13;4.17]). In schools with a lower socioeconomic status, children were more likely to have social desirability (≥5: 72%;Adj OR = 2.74;95% CI [1.23;6.37]). Higher RCMAS anxiety (r = −0.18;p −0.23;p −0.20;p Conclusion: Our results showed that the well-being of children was impacted during the COVID-19 pandemic. Special attention must be focused on the most vulnerable groups, as the consequences can be catastrophic in the long term.

Exploring the Impact of Crisis and Trauma on the Mental Health and Psychological Well-Being of University Students in Northern Haiti

In recent decades,Haiti has been subject to man-made and natural disasters that have left its citizens vulnerable to a range of shocks.With a weak state unable to protect its populace,Haitians are exposed to some of the highest levels of poverty and violence in the Western Hemisphere.In recent years,Haitians have experienced two crises that this study analyzes:the instability and political violence of“peyi lòk”as well as the global pandemic of COVID-19.This community-based assessment explores the impact of these two crises on the mental health and psychological well-being of 38 Haitian university students in the understudied northern part of the country.Results indicate that both crises had similarities related to their psychological effects on young people,most notably in terms of traumatic experiences related to threats or violence,forced confinement,and large increases in population-wide uncertainty.Additionally,the extreme violence of“peyi lòk”and the widespread unpredictability of COVID-19 and its effects in the early days of the pandemic resulted in high levels of stress and fear.Both crises also resulted in extreme economic hardship for students,with many reporting difficulties accessing basic needs such as food and water.This study highlights how converging population-level crises in“complex emergencies”can heighten trauma and compromise mental health.

Who Benefits More from Physical Exercise?On the Relations between Personality,Physical Exercise,and Well-Being

Although employers believe that encouraging and supporting physical exercise activities by purchasing fitness equipment and building sports venues can improve employees’well-being,the utilization rate is rather low.Since most of the evidence of the well-being promotion in the workplace concentrated on the perspectives of organizational factors and psychosocial factors and focused on the reduction of the negative affect of well-being,it is still an open question whether physical exercise has benefits on both negative and positive affect of well-being and who benefits more from physical exercise.Thus,the purpose of this study is to investigate the impact of physical exercise on occupational well-being(job burnout and work engagement)and examine whether effectiveness depends on personality traits.Online questionnaires were distributed.The sample included 671 participants from different enterprises in China.Results showed that the effectiveness of physical exercise was also applicable to well-being in the workplace.Physical exercise was negatively correlated with job burnout and positively correlated with work engagement.The effectiveness was different among employees with different personality traits.Contrary to our expectation,individuals with neuroticism were more likely to improve their work engagement through physical exercise.Extroversion and conscientiousness weakened the benefits of physical exercise.Therefore,differences of effectiveness among different personality traits emphasize the need for a more personalized strategy in physical exercise interventions.

A Study of Hie and LBP: The First Step to Improve Subjective Well-Being

Backgrounds: Health does not only physical health, therefore, we need to study it from various viewpoints. Many Japanese female complain of a Hie or a low back pain (LBP), which they reduce their subjective well-being. We analyze. Those patients often have acupuncture therapy. In this study, we analyze the characteristics of Hie and LBP, the satisfaction level of alternative therapy and we pursue a tip to improve subjective well-being. Methods: Of 1000 women, Hie (+)/Hie (−) or LBP (+)/LBP (−), we compared their body temperature (BT) (axilla) and body mass index (BMI). Furthermore, the Chi test identified ten factors of “body” and seven “mind” information. Results: In the result of BT (axilla) while LBP indicated a significant difference. Both Hie and LBP showed difference in the opposite direction. Hie did now show such clear differences in “body” information. However, interestingly, all seven questions in the “mind” information showed statistical difference. Discussion and conclusion: One reason why those patients have acupuncture therapy may acupuncture therapy traditionally has not separate “mind” and “body” and it has the concept of “mind-body unity”. To improve subjective well-being, first we need to focus on “Mind” as well as “mind-body unity”. Mental-health support is important for patients with Hie or LBP to reduce physiological stress.

Is there regional convergence between Morocco and its OECD partner countries in terms of well-being?

Morocco wants its 12 regions to play the role as the main lever of its public policies to initiate harmonized spatial multidimensional development. In the context of this goal and Morocco’s openness over the past two decades to bilateral and multilateral cooperation in an effort toward regional integration, this article studies the convergence of 389 regions in 36 countries(Morocco and 35 of its partner member countries in the Organization for Economic Co-operation and Development(OECD)) between 2000 and 2019 in terms of well-being. To this end, we considered the territorial dimension of β-convergence models for well-being and its four domains(economic, social, environmental, and governance). Then, we adapted the absolute β-convergence model by taking into account the existence of spatial heterogeneity according to five specifications of spatial models. Thus, apart from environmental domain, we found that β-convergence of regions is significant for well-being and three of its domains(economic, social, and governance). These convergences are made by a spatially autocorrelated error model(SEM). However, the speed and period of convergence are relatively low for social domain, partly explaining the very exacerbated tensions at the territorial level. The fastest convergence was achieved in governance domain, followed by economic domain. This suggests that emerging countries must pay particular attention to national public action in favor of social cohesion at the territorial level. The lack of convergence in environmental domain calls for common actions for all countries at the supranational level to protect the commons at the territorial level.

Translation of Well-being Assessment Instruments in African Contexts: A Mapping Review and Future Directions

A fundamental requirement for proper measurement of well-being in diverse contexts is the appropriate translation of well-being measures into the languages spoken by the specific population.The aim of this paper is to identify measures of well-being that have been translated into African languages up to the year 2019 and make suggestions for researchers who are faced with the challenge of translating well-being instruments into local languages.Online databases were searched to identify published studies reporting the translation of well-being instruments into African languages.Some researchers were further contacted and requested to provide relevant studies.A total of 352 publications were retrieved and 44 translated measures met the inclusion criteria.Findings showed that all the translated African language versions of existing measures were published between 2006 and 2019.Although the published translations were increasingly widespread,the distribution of available studies was uneven,with very low published translation activity in East and North Africa and a preponderance of publications on translated instruments in South Africa.The authors suggest deriving population norms for relevant translations;increasing funding and other resources for translation projects;developing cross-national collaborations on translations;and making the translated versions of well-being instruments more accessible for use by other researchers.

Strengthened Dominance Relation NSGA-Ⅲ Algorithm Based on Differential Evolution to Solve Job Shop Scheduling Problem

The job shop scheduling problem is a classical combinatorial optimization challenge frequently encountered in manufacturing systems.It involves determining the optimal execution sequences for a set of jobs on various machines to maximize production efficiency and meet multiple objectives.The Non-dominated Sorting Genetic Algorithm Ⅲ(NSGA-Ⅲ)is an effective approach for solving the multi-objective job shop scheduling problem.Nevertheless,it has some limitations in solving scheduling problems,including inadequate global search capability,susceptibility to premature convergence,and challenges in balancing convergence and diversity.To enhance its performance,this paper introduces a strengthened dominance relation NSGA-Ⅲ algorithm based on differential evolution(NSGA-Ⅲ-SD).By incorporating constrained differential evolution and simulated binary crossover genetic operators,this algorithm effectively improves NSGA-Ⅲ’s global search capability while mitigating pre-mature convergence issues.Furthermore,it introduces a reinforced dominance relation to address the trade-off between convergence and diversity in NSGA-Ⅲ.Additionally,effective encoding and decoding methods for discrete job shop scheduling are proposed,which can improve the overall performance of the algorithm without complex computation.To validate the algorithm’s effectiveness,NSGA-Ⅲ-SD is extensively compared with other advanced multi-objective optimization algorithms using 20 job shop scheduling test instances.The experimental results demonstrate that NSGA-Ⅲ-SD achieves better solution quality and diversity,proving its effectiveness in solving the multi-objective job shop scheduling problem.

The Emergence of Loving Pedagogy in the L2 Affective Domain:How Affective Pedagogy Accounts for Chinese EFL Teachers’Professional Success and Job Satisfaction?

The success of teachers in professional environments has a desirable influence on their mental condition.Simply said,teachers’professional success plays a crucial role in improving their mental health.Due to the invaluable role of professional success in teachers’mental health,personal and professional variables helping teachers succeed in their profession need to be uncovered.While the role of teachers’personal qualities has been well researched,the function of professional variables has remained unknown.To address the existing gap,the current investigation measured the role of two professional variables,namely job satisfaction and loving pedagogy,in Chinese EFL teachers’professional success.To do this,three validated scales were provided to 1591 Chinese EFL teachers.Participants’answers to the questionnaires were analyzed using the Spearman correlation test and structural equation modeling.The data analysis demonstrated a strong,positive link between the variables.Moreover,loving pedagogy was found to be the positive,strong predictor of Chinese EFL teachers’job satisfaction and professional success.The findings of the current inquiry may help educational administrators enhance their instructors’professional success,which in turn promotes their mental and psychological conditions at work.

Energy-Saving Distributed Flexible Job Shop Scheduling Optimization with Dual Resource Constraints Based on Integrated Q-Learning Multi-Objective Grey Wolf Optimizer

The distributed flexible job shop scheduling problem(DFJSP)has attracted great attention with the growth of the global manufacturing industry.General DFJSP research only considers machine constraints and ignores worker constraints.As one critical factor of production,effective utilization of worker resources can increase productivity.Meanwhile,energy consumption is a growing concern due to the increasingly serious environmental issues.Therefore,the distributed flexible job shop scheduling problem with dual resource constraints(DFJSP-DRC)for minimizing makespan and total energy consumption is studied in this paper.To solve the problem,we present a multi-objective mathematical model for DFJSP-DRC and propose a Q-learning-based multi-objective grey wolf optimizer(Q-MOGWO).In Q-MOGWO,high-quality initial solutions are generated by a hybrid initialization strategy,and an improved active decoding strategy is designed to obtain the scheduling schemes.To further enhance the local search capability and expand the solution space,two wolf predation strategies and three critical factory neighborhood structures based on Q-learning are proposed.These strategies and structures enable Q-MOGWO to explore the solution space more efficiently and thus find better Pareto solutions.The effectiveness of Q-MOGWO in addressing DFJSP-DRC is verified through comparison with four algorithms using 45 instances.The results reveal that Q-MOGWO outperforms comparison algorithms in terms of solution quality.

An Improved Harris Hawk Optimization Algorithm for Flexible Job Shop Scheduling Problem

Flexible job shop scheduling problem(FJSP)is the core decision-making problem of intelligent manufacturing production management.The Harris hawk optimization(HHO)algorithm,as a typical metaheuristic algorithm,has been widely employed to solve scheduling problems.However,HHO suffers from premature convergence when solving NP-hard problems.Therefore,this paper proposes an improved HHO algorithm(GNHHO)to solve the FJSP.GNHHO introduces an elitism strategy,a chaotic mechanism,a nonlinear escaping energy update strategy,and a Gaussian random walk strategy to prevent premature convergence.A flexible job shop scheduling model is constructed,and the static and dynamic FJSP is investigated to minimize the makespan.This paper chooses a two-segment encoding mode based on the job and the machine of the FJSP.To verify the effectiveness of GNHHO,this study tests it in 23 benchmark functions,10 standard job shop scheduling problems(JSPs),and 5 standard FJSPs.Besides,this study collects data from an agricultural company and uses the GNHHO algorithm to optimize the company’s FJSP.The optimized scheduling scheme demonstrates significant improvements in makespan,with an advancement of 28.16%for static scheduling and 35.63%for dynamic scheduling.Moreover,it achieves an average increase of 21.50%in the on-time order delivery rate.The results demonstrate that the performance of the GNHHO algorithm in solving FJSP is superior to some existing algorithms.

Deep Reinforcement Learning Solves Job-shop Scheduling Problems

To solve the sparse reward problem of job-shop scheduling by deep reinforcement learning,a deep reinforcement learning framework considering sparse reward problem is proposed.The job shop scheduling problem is transformed into Markov decision process,and six state features are designed to improve the state feature representation by using two-way scheduling method,including four state features that distinguish the optimal action and two state features that are related to the learning goal.An extended variant of graph isomorphic network GIN++is used to encode disjunction graphs to improve the performance and generalization ability of the model.Through iterative greedy algorithm,random strategy is generated as the initial strategy,and the action with the maximum information gain is selected to expand it to optimize the exploration ability of Actor-Critic algorithm.Through validation of the trained policy model on multiple public test data sets and comparison with other advanced DRL methods and scheduling rules,the proposed method reduces the minimum average gap by 3.49%,5.31%and 4.16%,respectively,compared with the priority rule-based method,and 5.34%compared with the learning-based method.11.97%and 5.02%,effectively improving the accuracy of DRL to solve the approximate solution of JSSP minimum completion time.