Data on mathematics teacher educators' proficiency and willingness to use technology: A structural equation modelling analysis

The role of Mathematics Teacher Educators (MTEs) in preparing future teachers to effectively integrate technology into their mathematics instruction is of paramount importance yet remains an underexplored domain. Technology has the potential to enhance the development of 21st-century skills, such as problem-solving and critical thinking, which are essential for students in the era of the fourth industrial revolution. However, the rapid evolution of technology and the emergence of new trends like data analytics, the Internet of Things, machine learning, cloud computing, and artificial intelligence present new challenges in the realm of mathematics teaching and learning. Consequently, MTEs need to equip prospective teachers with the knowledge and skills to harness technology in innovative ways within their future mathematics classrooms. This paper presents and describes data from a survey of 104 MTEs in Zambia. The study focuses on MTEs' proficiency, perceived usefulness, perceived ease of use, and willingness to incorporate technology in their classrooms. This data-driven article aims to unveil patterns and trends within the dataset, with the objective of offering insights rather than drawing definitive conclusions. The article also highlights the data collection process and outlines the procedure for assessing the measurement model of the hypothesised relationships among variables through structural equation modelling analysis. The data described in this article not only sheds light on the current landscape but also serves as a valuable resource for mathematics teacher training institutions and other stakeholders seeking to understand the requisites for MTEs to foster technological skills among prospective teachers of mathematics.

Trait emotional intelligence as a predictor of resilience among undergraduate nursing students: A structural equation modelling approach

BACKGROUND

There is a growing interest in understanding the role of trait emotional intelligence and resilience. However, few studies have examined the relationships between the various factors of trait emotional intelligence and resilience.

OBJECTIVE

To examine the factors of trait emotional intelligence and resilience using a structure equation modelling approach.

DESIGN

A quantitative exploratory design using structural equation modelling approach.

SETTING

One university in Singapore.

PARTICIPANTS

A total of 300 undergraduate nursing students were included in this study.

METHOD

A quantitative exploratory study using the structural equation modelling technique was conducted. The Trait Emotional Intelligence Questionnaire and Brief Resilience Scale were used to examine the relationships between trait emotional intelligence and resilience. The data analyses were conducted using SPSS and AMOS software.

RESULTS

The structural equation model found relationships between the various factors of trait emotional intelligence. There were associations between self-control, sociability, and emotionality scores with well-being scores. In addition, there is a relationship between emotionality and well-being scores on resilience scores.

CONCLUSIONS

The findings from this study illustrate the complex relationships between the various factors of trait emotional intelligence, and specifically how these factors are related to each other and resilience. The findings of this study propose that emotional intelligence are associated with one's resilience. For this reason, these findings will be important in the development of future resilience programs.

Validating part of the social media infodemic listening conceptual framework using structural equation modelling

Background

The literature has identified various factors that promote or hinder people's intentions towards COVID-19 vaccination, and structural equation modelling (SEM) is a common approach to validate these associations. We propose a conceptual framework called social media infodemic listening (SoMeIL) for public health behaviours. Hypothesizing parameters retrieved from social media platforms can be used to infer people's intentions towards vaccination behaviours. This study preliminarily validates several components of the SoMeIL conceptual framework using SEM and Twitter data and examines the feasibility of using Twitter data in SEM research.

Methods

A total of 2420 English tweets in Toronto or Ottawa, Ontario, Canada, were collected from March 8 to June 30, 2021. Confirmatory factor analysis and SEM were applied to validate the SoMeIL conceptual framework in this cross-sectional study.

Findings

The results showed that sentiment scores, the log-numbers of favourites and retweets of a tweet, and the log-numbers of a user's favourites, followers, and public lists had significant direct associations with COVID-19 vaccination intention. The sentiment score of a tweet had the strongest relationship, whereas a user's number of followers had the weakest relationship with the intention of COVID-19 vaccine uptake.

Interpretation

The findings preliminarily validate several components of the SoMeIL conceptual framework by testing associations between self-reported COVID-19 vaccination intention and sentiment scores and the log-numbers of a tweet's favourites and retweets as well as users' favourites, followers, and public lists. This study also demonstrates the feasibility of using Twitter data in SEM research. Importantly, this study preliminarily validates the use of these six components as online reaction behaviours in the SoMeIL framework to infer the self-reported COVID-19 vaccination intentions of Canadian Twitter users in two cities.

Funding

This study was supported by the 2023-24 Ontario Graduate Scholarship.

Predictors of health-related quality of life for children with neurodevelopmental conditions

Neurodevelopmental conditions can be associated with decreased health-related quality of life; however, the predictors of these outcomes remain largely unknown. We characterized the predictors of health-related quality of life (HRQoL) in a sample of neurodiverse children and youth. We used a cross-sectional subsample from the Province of Ontario Neurodevelopmental Disorders Network (POND) consisting of those children and young people in the POND dataset with complete study data (total n = 615; 31% female; age: 11.28 years ± 2.84 years). Using a structural equation model, we investigated the effects of demographics (age, sex, socioeconomic status), core features (Social Communication Questionnaire, Toronto Obsessive Compulsive Scale, Strengths and Weaknesses of attention deficit/hyperactivity disorder (ADHD)-symptoms and Normal Behavior), co-occurring symptoms (Child Behaviour Checklist), and adaptive functioning (Adaptive Behaviour Assessment System) on HRQoL (KINDL). A total of 615 participants had complete data for this study (autism = 135, ADHD = 273, subthreshold ADHD = 7, obsessive-compulsive disorder (OCD) = 38, sub-threshold OCD = 1, neurotypical = 161). Of these participants, 190 (31%) identified as female, and 425 (69%) identified as male. The mean age was 11.28 years ± 2.84 years. Health-related quality of life was negatively associated with co-occurring symptoms (B = - 0.6, SE = 0.20, CI (- 0.95, - 0.19), p = 0.004)) and age (B = - 0.1, SE = 0.04, CI (- 0.19, - 0.01), p = 0.037). Fewer co-occurring symptoms were associated with higher socioeconomic status (B = - 0.5, SE = - 0.05, CI (- 0.58, - 0.37), p < 0.001). This study used a cross-sectional design. Given that one's experiences, needs, supports, and environment and thus HrQoL may change significantly over the lifespan and a longitudinal analysis of predictors is needed to capture these changes. Future studies with more diverse participant groups are needed. These results demonstrate the importance of behavioural and sociodemographic characteristics on health-related quality of life across neurodevelopmental conditions.

Poor personal protective equipment practices were associated with heat-related symptoms among Asian healthcare workers: a large-scale multi-national questionnaire survey

BACKGROUND

It is pertinent to understand the perceptions of healthcare workers (HCWs) with their associated personal protective equipment (PPE) usage and heat strain symptoms experienced to effectively combat the negative effects of heat stress during treatment and care activities.

METHODS

We evaluated the associated heat stress perceived by HCWs across Asia and validated a questionnaire on perceptions of heat stress, associated PPE usage, and heat strain symptoms experienced. The questionnaire was administered to 3,082 HCWs in six Asian regions. Factor analyses, including Cronbach's alpha, assessed the questionnaire's validity and reliability. Structural equation modelling analysed the effects of knowledge, attitudes and practices, and heat strain symptoms.

RESULTS

The questionnaire was found to be reliable in assessing HCWs' knowledge, and attitudes and practices towards heat stress and PPE usage (both Cronbach's alpha = 0.9), but not heat strain symptoms (Cronbach's alpha = 0.6). Despite knowledge of heat stress, HCWs had negative attitudes and practices regarding PPE usage (β1 = 0.6, p < 0.001). Knowledge (path coefficient = 0.2, p < 0.001), and negative attitudes and practices (path coefficient = 0.2, p < 0.001) of HCWs towards heat stress and PPE usage adversely affected symptoms experienced.

CONCLUSIONS

The questionnaire was not reliable in assessing symptoms. HCWs should, nevertheless, still self-assess their symptoms for early detection of heat strain. To effectively attenuate heat strain, understanding HCWs' attitudes and practices towards PPE usage should guide policymakers in implementing targeted heat management strategies.

Autonomy and factors affecting dental health care seeking behaviour in women: An application of theory of planned behaviour

Background

Understanding oral health care seeking behaviour and it's determinants is essential in improving oral health. The health care utilization in women was found to be influenced by their autonomy. A socio-cognitive model that can explain variance in dental attendance behaviour in women including autonomy has yet to be validated. The Theory of Planned Behaviour (TPB), which takes into account women's autonomy, attitude, subjective norms, and perceived behavioural control, is empirically tested in this study with regard to self-reported dental visiting intentions and dental health seeking behaviour.

Method

Cross sectional study using self-administered questionnaires was conducted to assess socio-demographic factors, autonomy, dental visiting behaviors as well as constructs of TPB model in 400 women aged 18 years or older in Bangalore city selected via stratified cluster sampling method. Two-stage structural equation modelling (SEM) was used to test the hypothesized TPB model.

Results

The proposed correlated 5-factor measurement model was confirmed through confirmatory factor analysis (CFA). In SEM subjective norm (β = 0.17), perceived behavioural control (β = -0.27) and autonomy (β = 0.49) significantly predicted dental visiting intentions in women. Intention (β = 0.56) and autonomy (β = 0.25) explained dental visiting behaviour. It also revealed indirect effect of autonomy and perceived behaviour control on dental visiting behaviour through intentions. The hypothesized model predicted 27.6 % and 23.8% of the variance in intention and dental visiting behaviour respectively.

Conclusion

The hypothesized model was successful in predicting intention and dental visiting behaviour in women. This could explain the multidimensional nature of dental care utilization in women which in turn might be helpful in improving access to dental care among them in future.

Positive self-beliefs mediate the association between body appreciation and positive mental health

Previous work has supported direct, positive associations between body appreciation and positive mental health, but has largely neglected to examine possible indirect mechanistic pathways. Here, we propose one relevant mediational pathway, wherein body appreciation is associated with positive mental health via positive self-beliefs (i.e., cognitions that lead individuals to view themselves, their lives, and/or their futures under a positive outlook). To test this hypothesis, we asked an online sample of 496 adults (249 women, 247 men) from the United Kingdom to complete measures of body appreciation, positive self-beliefs, and positive mental health. Participants also completed measures of self-efficacy and resilience, and provided their demographic information. Correlational analysis revealed significant, positive, and strong associations between body appreciation and facets of positive self-beliefs and positive mental health, respectively. Structural equation modelling showed that positive self-beliefs mediated the association between body appreciation and positive mental health after controlling for self-efficacy and resilience. This model was robust across women and men separately, and the mediational effects remained intact in sensitivity and robustness analyses. We discuss ways in which greater body appreciation may help individuals develop and maintain positive self-beliefs, which in turn shape mental health outcomes.

Individuals' contribution to household energy savings: The role of big-two personality traits

Household energy consumption (HEC) is one of the major contributors to global emissions, making it a critical area for addressing sustainability challenges. The impact of personality traits on human behaviour is significant in shaping HEC patterns, and therefore, have important implications for sustainability policies. This study aims to investigate role of biologically predicted big-two personality traits (i.e., stability and plasticity), a higher order solution to five-factor traits and orthogonal traits, on HEC. To that end, a structural equation model is developed using a national household survey in Australia. The performance of the model is benchmarked against a five-factor (i.e., agreeableness, consciousness, emotional stability, extraversion and openness) personality trait model. The performance of the models is measured using six goodness-of-fit indices, all of which show a superior performance in the big-two traits model. The results indicate that a higher score in stability poses energy-intensive behaviour, while a higher plasticity score poses energy-saving behaviours. The plasticity trait is linked to environmentally friendly behaviours, while the stability trait is associated with environmentally unfavourable behavioural practices. The effects of socioeconomic status on HEC are mediated by stability and plasticity to identify those who are more likely to change their energy consumption habits as the target group for policy intervention. This study can assist policy makers to determine energy-intensive and energy-saving behaviours from the big-two traits, and to develop more effective and targeted sustainability policies that can help in reducing HEC and promote sustainable living in societies.

Social integration and utilization of national basic public health services among China's internal migrants with chronic diseases: A structural equation modelling approach

Internal migrants with chronic diseases (IMCDs) are a specific subgroup of the internal migrants, but few studies have focused on health service utilization among this group. Social integration is an essential element in the maintenance of health and well-being in migrants. However, the measurement of social integration remains inconsistent. This study aimed to measure social integration more comprehensively and evaluate the association between social integration and National Basic Public Health Services (NBPHS) utilization among IMCDs in China, thereby providing theoretical support for health promotion among IMCDs. The data of this study were obtained from the China Migrants Dynamic Survey (CMDS) in 2017. A total of 9272 internal migrants who self-reported hypertension and/or type 2 diabetes were included in the analysis. Four factors were extracted through exploratory factor analysis to measure the social integration of IMCDs: psychological identity, community involvement, social security, and sociocultural adaptation. The results show the IMCDs underutilized NBPHS, with 26.80 % stating that they have not used any of the services in the NBPHS. We confirmed the positive association between social integration and NBPHS use among IMCDs. The social integration of IMCDs in developed regions was relatively worse than in developing regions, further exacerbating the underutilization of NBPHS in developed regions. Therefore, targeted government measures and supportive policies are necessary, especially in developed regions, to encourage IMCDs to participate in social organizations and community activities and stimulate their active participation in the NBPHS.

Multi-layered physical factors govern mercury release from soil: Implications for predicting the environmental fate of mercury

Despite the recognised risks of human exposure to mercury (Hg), the drivers of gaseous elemental mercury (GEM) emissions from the soil remain understudied. In this study, we aimed to identify the environmental parameters that affect the GEM flux from soil and derive the correlations between environmental parameters and GEM flux. Principal component analysis (PCA), factor analysis (FA), and structural equation modelling (SEM) were performed on samples from forest and non-forest sites. The associated results revealed the impact of each environmental parameter on GEM flux, either due to the interaction between the parameters or as a coherent set of parameters. An introductory correlation matrix examining the relationship between two components showed a negative correlation between GEM flux and atmospheric pressure at the two sites, as well as strong correlations between atmospheric pressure and soil temperature. In cases of non-forest open sites with no trees, the PCA and FA results were consistent, indicating that atmospheric pressure, solar irradiance, and soil moisture-defined as primary causality-are largely independent drivers of GEM flux. In contrast, the PCA and FA results for the forest areas with high humidity, tree coverage, and shade were inconsistent, confirming the hypothesis that primary causality affects GEM flux rather than consequent parameters driven by primary causality, such as air and soil temperature and atmospheric humidity. The SEM results provided further evidence for primary and consequent causality as crucial drivers of the GEM flux. This study demonstrates the importance of key primary parameters, such as atmospheric pressure, solar irradiance, and soil moisture content, that can be used to predict mercury release from soils, as well as the importance of consequent parameters, such as air and soil temperature and atmospheric humidity. Monitoring the magnitude of these environmental parameters alone may facilitate the estimation of mercury release from soils and be useful for detailed modelling of soil-air Hg exchange.

Bookkeeping practices and SME performance: The intervening role of owners' accounting skills

Aside from statutory requirements, Small and Medium-Sized Enterprises (SMEs) hardly take into consideration reliable accounting systems. Therefore, poor and ineffective bookkeeping has contributed to the collapse of some SMEs. This paper examines the intervening role of owners' accounting skills in the relationship between bookkeeping practices and the performance of SMEs in the Ho Municipal Assembly of Ghana using a sample of 296 SMEs. In a structural equation modelling (SEM) framework, the Smart Partial Least Squares (Smart-PLS) software is employed to analyse the relationships between owners' accounting skills, bookkeeping practices, and the performance of SMEs. We find that bookkeeping practices and owners' accounting skills have significant positive effects on the performance of SMEs. Most importantly, we show the existence of a significant indirect relationship between bookkeeping practices and SME performance such that owners' accounting skills positively intervenes the relationship between bookkeeping practices and SME performance. Thus, in the presence of higher owners' accounting skills, the relationship between bookkeeping and the performance of SMEs is strengthened further. In a typical emerging economy context, while appropriate regulatory bodies, such as the National Board for Small Scale Industries (NBSSI), in the Ghanaian context, and local revenue collection authorities could put forth measures like periodic compliance audits to ensure that registered SMEs are managed by skilled personnel, fostering them to meet basic requirements for keeping records and managing their accounts to improve their performance, it is worth acknowledging that the onus lies on SME managers to recognise the relevance of good recordkeeping and account management practices to ensure sustained business performance.

Outcomes of a homestead food production program on nutritional knowledge, dietary diversity, food security and empowerment of rural women in Tehran province, Iran

BACKGROUND

Food and nutrition insecurity is a major health issue in developing countries. Homestead food production (HFP) programs are strategies for improving food and nutrition security of a country. Iran implemented a HFP program entitled "Nutrition Improvement of Rural and Nomadic Women" in its villages for a five-year period from 2017. The current study assessed the outcomes of this mentioned program and its determinants among rural women in Tehran province.

METHODS

The population of this cross-sectional study comprised a group covered by the program (n = 143) and a non-covered group (n = 160). The participants were selected randomly from 32 villages of five counties in Tehran province. Data was collected using five questionnaires: (1) General information, (2) Women's empowerment, (3) Nutritional knowledge, (4) Dietary diversity, and (5) Household Food Insecurity Access Scale (HFIAS). Data was analyzed using the IBM SPSS version 21 and the IBM Amos SPSS version 22 software.

RESULTS

The results of the study showed no significant improvement in the expected indicators, such as frequency of home gardening, nutritional knowledge, dietary diversity, women's empowerment, and household food insecurity status among women covered by the program (p > 0.05). The structural equation modelling (SEM) results indicated that women's empowerment from the dimension of decision-making power (r = 0.151) and nutritional knowledge (r = 0.135) were the significant positive predictors of dietary diversity (p < 0.05), while household food insecurity predicted it negatively (r=-0.138) (p < 0.05).

CONCLUSION

Because the current evaluated program has not been able to improve the expected indicators, modification of the program implementation may be needed, such as: addressing the probable barriers and challenges and strengthening the facilities in the covered villages. The current study presents a model of the dietary diversity predictors for consideration in redesigning or enhancing the program.

Grey-matter structure in cortical and limbic regions correlates with general cognitive ability in old age

According to the maintenance hypothesis (Nyberg et al., 2012), structural integrity of the brain's grey matter helps to preserve cognitive functioning into old age. A corollary of this hypothesis that can be tested in cross-sectional data is that grey-matter structural integrity and general cognitive ability are positively associated in old age. Building on Köhncke et al. (2021), who found that region-specific latent factors of grey-matter integrity are positively associated with episodic memory ability among older adults, we examine associations between general factors of grey-matter integrity and a general factor of cognitive ability in a cross-sectional sample of 1466 participants aged 60-88 years, 319 of whom contributed imaging data. Indicator variables based on T1-weighted images (voxel-based morphometry, VBM), magnetization-transfer imaging (MT), and diffusion tensor imaging-derived mean diffusivity (MD) had sufficient portions of variance in common to establish latent factors of grey-matter structure for a comprehensive set of regions of interest (ROI). Individual differences in grey-matter factors were positively correlated across neocortical and limbic areas, allowing for the definition of second-order, general factors for neocortical and limbic ROI, respectively. Both general grey-matter factors were positively correlated with general cognitive ability. For the basal ganglia, the three modality-specific indicators showed heterogenous loading patterns, and no reliable associations of the general grey-matter factor to general cognitive ability were found. To provide more direct tests of the maintenance hypothesis, we recommend applying the present structural modeling approach to longitudinal data, thereby enhancing the physiological validity of latent constructs of brain structure.

Application of the extended theory of planned behavior to predict dentist intention and behavior in providing caries preventive care for preschool children

BACKGROUND

Various studies show a gap between evidence-based recommendations and the preventive practice of dentists. This study aimed to create and assess an extended Theory of Planned Behavior (TPB) model on dentists' intentions to do caries preventive measures and related barriers experienced by dentists.

METHODS

A total of 362 general dentists from 34 Indonesian provinces were included in this study. A self-administered online questionnaire consisted of three sections: dentist characteristics and practice pattern, TPB questionnaire, and dentist perceived behavior regarding preventive care for pediatric patients. The questionnaire was distributed and the data was analyzed through structural equation modeling.

RESULTS

TPB's extended version is a fit and relevant model, explaining 55.3% of dentists' intentions to undertake preventive procedures and 17.8% of preventive practices. Perceived behavioral control was the most powerful predictor of intention (44.2%) and practice (8.8%), while parental barriers were the most significant barrier to provide preventive care (18.9%).

CONCLUSION

Extending the TPB by taking barriers from multiple stakeholders as a consideration has a higher predictive level for preventive practices. Each barrier should be addressed through oral health programs and policies, and dentists must be taught to overcome these barriers (through formal or continuing education) in order to maximize caries prevention strategies.

Disability specific equivalence scales: a case-control approach applied to the cost of acquired brain injuries

This study estimates the household costs resulting from acquired brain injuries in terms of a reduction in the standard of living. The application uses primary data collected in the Verona and Florence provinces of Italy integrating highly detailed health information with information about consumption, income, wealth, time-use and relational well-being describing the standard of living. In general, the estimates of disability costs in previous studies are obtained from survey data without a specific focus on individuals with disabilities but collect information on the general health status. In contrast, this study exploits highly detailed information on a sample of "cases" with a disability, whose intensity is measured by the highly precise European quality of life measure-5 domain-5 (EQ-5D) instrument, to be compared with a sample of "control" formed by households without disabled members. The disability scales have been estimated using a Structural Equation Modelling (SEM) based procedure. We then implement interpersonal comparisons on the health income dimension in a theoretically plausible way, testing the independence hypothesis of equivalence scales. Our study finds that on average disabled households need an additional amount of about €1800 per month to reach the same standard of livings as the non-disabled households corresponding to a scale of 1.78.

Polytraumatization, defense mechanisms, PTSD and complex PTSD in Indian adolescents: a mediation model

BACKGROUND

Adolescence is recognized as a particularly susceptible developmental period for experiencing multiple types of Adverse Childhood Experiences (ACE), increasing the vulnerability to higher levels of Post-Traumatic Stress Disorder (PTSD) and Complex PTSD symptoms. Some studies found that defense mechanisms play an important role on the association between ACE and psychological symptoms.

METHODS

We analyzed the associations between direct and indirect exposure to ACE and PTSD and Complex PTSD (affective dysregulation, negative self-concept and disturbances in relationships) through the mediation role of mature defense mechanisms: mature, neurotic, and immature defense mechanisms in Indian adolescents. A sample of 411 Indian adolescents (M = 14.2 years old; S.D. = 0.5) completed validated self-report questionnaires. Serial multiple mediation models were tested by conducting a structural equation modelling employing Preacher and Hayes' procedures (2008).

RESULTS

Immature and neurotic defense mechanisms mediated the association between direct exposure to ACE with PTSD symptoms. Immature defense mechanisms were mediators of the relationship between direct exposure to ACE and Complex PTSD symptoms clusters.

CONCLUSIONS

Maladaptive defense mechanisms can disturb the process of self-regulation and emotion regulation capabilities in coping with traumatic experiences, leading to higher PTSD and Complex PTSD symptoms severity.

Testing a Conceptual Model of Physiologic Reserve, Intrinsic Capacity, and Physical Resilience in Hospitalized Older Patients: A Structural Equation Modelling

INTRODUCTION

The relationship among physiologic reserve, intrinsic capacity, and physical resilience has not been examined, and a conceptual model that includes these key determinants of healthy ageing is needed. This study aimed to test a conceptual model using real-world data to determine the relationships among physiologic reserve, intrinsic capacity, physical resilience, and clinical outcomes.

METHODS

This longitudinal study was conducted at a 1,343-bed tertiary-care medical centre. Patients were eligible for inclusion if they were 65 years of age or older and able to communicate independently. Demographic factors, cumulative illness rating scale for geriatrics [CIRS-G] (assessing physiologic reserve), intrinsic capacity, physical resilience instrument for older adults [PRIFOR] (assessing physical resilience), and clinical frailty scale [CFS] were collected at admission. The CFS and EuroQoL 5-dimension 3-level questionnaire [EQ5D] were administered at discharge.

RESULTS

The mean age of the 413 patients was 76.34 ± 6.72 (52.5% female). Two conceptual models were identified and supported. Specifically, the path coefficients in the two models showed that the CIRS-G had diverse associations with each intrinsic capacity domain, and that all intrinsic capacity domains (except vitality) were significantly associated with PRIFOR. Moreover, PRIFOR was significantly associated with follow-up CFS, baseline control, and EQ5D scores.

CONCLUSION

Physiologic reserve positively correlated with the cognitive and locomotive domains of intrinsic capacity. Moreover, older patients with better intrinsic capacity may have improved physical resilience, which may lead to better clinical outcomes. Efforts to improve the intrinsic capacity and physical resilience of older patients are necessary to promote healthy ageing.

The chain mediating roles of anxiety and depression in the relationship between the effects of the COVID-19 pandemic and procrastination in adolescents: a longitudinal study

BACKGROUND

The relationship between the Coronavirus Disease 2019 (COVID-19) pandemic, which is a traumatic event for adolescents, and procrastination is not clear. Mental health may play an important role in this relationship; however, the underlying mechanisms remain unknown. This study aimed to construct chain mediation models to examine whether anxiety and depression symptoms mediate the effects of the COVID-19 pandemic on procrastination in adolescents.

METHODS

A convenience sample of 12 middle and high schools in Harbin, China, with four follow-up online surveys was conducted during the COVID-19 pandemic. A total of 4,156 Chinese adolescents were enrolled in this study, of whom ages 11-18 (Mean = 13.55; SD = 1.18), 50.75% were male, and 93.24% were middle school students. Descriptive demographic analysis and Pearson's correlation analysis of the effects of the COVID-19 pandemic (T1), anxiety(T2), depression (T3), and procrastination (T4) were performed in SPSS 22.0. Chain mediation analysis performed with Mplus 8.3.

RESULTS

The effects of the COVID-19 pandemic, anxiety symptoms, depression symptoms, and procrastination were positively correlated (P < 0.01). The effects of the COVID-19 pandemic have a direct link on adolescent procrastination (effect = 0.156; SE = 0.031; 95%CI: 0.092, 0.214), and have three indirect paths on procrastination: the independent mediating role of anxiety symptoms was 29.01% (effect = 0.047; SE = 0.012; 95%CI: 0.024, 0.072), the independent mediating role of depression symptoms was 29.01% (effect = 0.047; SE = 0.010; 95%CI: 0.030, 0.068), as well as the completely chain mediating role of anxiety and depression symptoms was 15.43% (effect = 0.025; SE = 0.005; 95%CI: 0.017, 0.036).

CONCLUSIONS

Our results suggest that anxiety and depressive symptoms are part of a causal chain between the effects of the COVID-19 pandemic and procrastination among Chinese adolescents. To effectively reduce their procrastination, attention should be paid to the emotional distress caused to adolescents by major events such as the COVID-19 epidemic. All data were taken from self-reported measures and one city in China, which may bias the results and limit their generalizability.

Brain age predicted using graph convolutional neural network explains neurodevelopmental trajectory in preterm neonates

OBJECTIVES

Dramatic brain morphological changes occur throughout the third trimester of gestation. In this study, we investigated whether the predicted brain age (PBA) derived from graph convolutional network (GCN) that accounts for cortical morphometrics in third trimester is associated with postnatal abnormalities and neurodevelopmental outcome.

METHODS

In total, 577 T1 MRI scans of preterm neonates from two different datasets were analyzed; the NEOCIVET pipeline generated cortical surfaces and morphological features, which were then fed to the GCN to predict brain age. The brain age index (BAI; PBA minus chronological age) was used to determine the relationships among preterm birth (i.e., birthweight and birth age), perinatal brain injuries, postnatal events/clinical conditions, BAI at postnatal scan, and neurodevelopmental scores at 30 months.

RESULTS

Brain morphology and GCN-based age prediction of preterm neonates without brain lesions (mean absolute error [MAE]: 0.96 weeks) outperformed conventional machine learning methods using no topological information. Structural equation models (SEM) showed that BAI mediated the influence of preterm birth and postnatal clinical factors, but not perinatal brain injuries, on neurodevelopmental outcome at 30 months of age.

CONCLUSIONS

Brain morphology may be clinically meaningful in measuring brain age, as it relates to postnatal factors, and predicting neurodevelopmental outcome.

CLINICAL RELEVANCE STATEMENT

Understanding the neurodevelopmental trajectory of preterm neonates through the prediction of brain age using a graph convolutional neural network may allow for earlier detection of potential developmental abnormalities and improved interventions, consequently enhancing the prognosis and quality of life in this vulnerable population.

KEY POINTS

•Brain age in preterm neonates predicted using a graph convolutional network with brain morphological changes mediates the pre-scan risk factors and post-scan neurodevelopmental outcomes. •Predicted brain age oriented from conventional deep learning approaches, which indicates the neurodevelopmental status in neonates, shows a lack of sensitivity to perinatal risk factors and predicting neurodevelopmental outcomes. •The new brain age index based on brain morphology and graph convolutional network enhances the accuracy and clinical interpretation of predicted brain age for neonates.

Problematic smartphone usage, objective smartphone engagement, and executive functions: A latent variable analysis

The negative consequences of smartphone usage have seen frequent discourse in popular media. While existing studies seek to resolve these debates in relation to executive functions, findings are still limited and mixed. This is partly due to the lack of conceptual clarity about smartphone usage, the use of self-reported measures, and problems related to task impurity. Addressing these limitations, the current study utilizes a latent variable approach to examine various types of smartphone usage, including objectively measured data-logged screen time and screen-checking, and nine executive function tasks in 260 young adults through a multi-session study. Our structural equation models showed no evidence that self-reported normative smartphone usage, objective screen time, and objective screen-checking are associated with deficits in latent factors of inhibitory control, task-switching, and working memory capacity. Only self-reported problematic smartphone usage was associated with deficits in latent factor task-switching. These findings shed light on the boundary conditions of the link between smartphone usage and executive functions and suggest that smartphone usage in moderation may not have inherent harms on cognitive functions.

Intention to adopt improved indigenous chicken breeds among smallholder farmers in Machakos county, Kenya. Do socio-psychological factors matter?

Consumption of poultry meat, eggs, and other animal-sourced commodities has dramatically risen by almost 86 %, with the demand of indigenous chicken products almost doubling over the past few decades. In Kenya, poultry farmers prefer indigenous chicken (IC) due to their resilience to harsh climatic conditions, high feed conversion rates, delicious end products, ability to scavenge and potential to reduce greenhouse gas emissions among other factors. Despite the high demand for poultry and its products, the gap between demand and production remains high. Poultry farmers try to keep pace with the demand by integrating the recommended improved IC breeds into their production system. Although there exists some understanding on the determinants of the farmers to adopt improved IC, still there is scanty information on how socio-psychological factors influence the intention to adoption improved IC among the farmers in Kenya. Thus, this study sought to investigate the determinants of intention to adopt improved IC while specially focusing on the role of socio-psychological factors. A total of 374 IC farmers in Machakos county were selected using a multistage sampling technique. Partial Least Square - Structural Equation Modelling (PLS-SEM) was employed to analyze the data. Results from descriptive statistics showed that approximately 90 % of IC farmers in the study area were aware of the improved indigenous chicken breeds. However, the adoption of the improved IC was below average (44.9 %). The path analysis results revealed that Subjective Norm (SN) was the main determinant of farmer's intention to adopt improved IC breeds, followed by Attitude (ATT) and Perceived Behavioral Control (PBC). The study recommends more emphasis to be given to psycho-social issues through well designed public and private interventions that will promote adoption of improved breeds among IC farmers.

Maternal Mental Health and Children's Problem Behaviours: A Bi-directional Relationship?

Transactional theory and the coercive family process model have illustrated how the parent-child relationship is reciprocal. Emerging research using advanced statistical methods has examined these theories, but further investigations are necessary. In this study, we utilised linked health data on maternal mental health disorders and explored their relationship with child problem behaviours via the Strengths and Difficulties Questionnaire for over 13 years. We accessed data from the Millennium Cohort Study, linked to anonymised individual-level population-scale health and administrative data within the Secure Anonymised Information Linkage (SAIL) Databank. We used Bayesian Structural Equation Modelling, specifically Random-Intercept Cross-Lagged Panel Models, to analyse the relationships between mothers and their children. We then explored these models with the addition of time-invariant covariates. We found that a mother's mental health was strongly associated over time, as were children's problem behaviours. We found mixed evidence for bi-directional relationships, with only emotional problems showing bi-directional associations in mid to late childhood. Only child-to-mother pathways were identified for the overall problem behaviour score and peer problems; no associations were found for conduct problems or hyperactivity. All models had strong between-effects and clear socioeconomic and sex differences. We encourage the use of whole family-based support for mental health and problem behaviours, and recommend that socioeconomic, sex and wider differences should be considered as factors in tailoring family-based interventions and support.

Developmental cascades between insistence on sameness behaviour and anxiety symptoms in autism spectrum disorder

Autistic children experience high rates of anxiety. Insistence on sameness behaviour (IS) is a core feature of autism that appears correlated with anxiety severity. The objective of this study was to examine the longitudinal relations between anxiety and IS in autistic children using a developmental cascade model. A longitudinal cohort of 421 autistic children was followed between 4 and 11 years of age. Anxiety was quantified using items from the Anxiety Problems subscale of the Child Behavior Checklist; sameness behaviours were measured using the Repetitive Behavior Scale-Revised, Ritualistic/sameness subscale (both parent-report measures). Structural equation modelling was used to examine the longitudinal and directional associations between anxiety and IS at four time-points, through cross-lagged panel models (CLPM) with and without a random-intercepts component (RI-CLPM). Both the CLPM and the RI-CLPM had good fit. Significant directional associations were detected whereby elevated or increasing IS preceded elevated or increasing anxiety symptoms 1-2 years later, respectively. Stable baseline tendencies towards anxiety and IS as between-person traits (intercepts) were strongly associated (standardized estimate = 0.69, p < 0.001). The magnitude of the cross-sectional associations between anxiety and IS appeared to lessen with age. IS and anxiety symptoms in autism are closely related. They appear to be shared traits that mirror each other particularly in younger children. Increasing IS may be a sign of emerging future anxiety. Interventions that target IS to reduce or prevent anxiety amongst school-aged autistic children merit further study.

Watershed characteristics and chemical properties govern methyl mercury concentrations within headwater streams of boreal forests in Ontario, Canada

Methyl mercury (MeHg) concentrations in boreal headwater streams are influenced by complex natural processes and disturbances such as forestry management. Understanding drivers of MeHg within boreal streams in Ontario, Canada, is of particular interest as there are legacy MeHg concerns. However, models accounting for the complexity of underlying processes have not yet been developed. We assessed how catchment characteristics and stream water chemistry influence MeHg concentrations within 19 watersheds of the Dryden - Wabigoon Forest in Ontario, Canada, using a structural equation modelling (SEM) approach. Despite the study area encompassing a large variation of boreal forest watersheds in the Canadian Shield, our SEM had substantial explanatory power across the region (χ251 = 45.37, p-value = 0.70, R2 = 0.75). Nitrate concentrations (p-value <0.001), water temperature (p-value = 0.002), and the latent watershed characteristic (p-value <0.001) had a positive influence on MeHg concentrations once variable interactions were accounted. Due to the inherent strengths of applying an SEM approach, we describe two plausible pathways driving MeHg concentrations: 1) indirect effect of forest-derived nutrients increases in-situ MeHg production in Dryden - Wabigoon Forest streams, and 2) direct supply of MeHg from inundated soils following consistent precipitation and inundation events (i.e., fill, sit, and spill).

Trajectories of depression symptoms, anxiety symptoms and functional impairment during internet-enabled cognitive-behavioural therapy

Underlying classes capture differences between patient symptom trajectories during psychological therapy. This has not been explored for one-to-one internet-delivered therapy or functional impairment trajectories. Patients experiencing depression or anxiety received cognitive-behavioural therapy with a therapist using an online chat platform (N = 52,029). Trajectory classes of depression symptoms (PHQ9), anxiety symptoms (GAD7) and functional impairment (WSAS) were investigated using growth mixture modelling. Multinomial regressions tested associations between baseline variables and trajectory class. A four-class trajectory model was selected for each outcome, and these were highly similar. Each outcome showed three classes with initially moderate-severe symptoms or impairment: one demonstrated no change, one gradual improvement and one fast improvement. A fourth class had mild baseline scores and minimal improvement. In the moderate-severe classes, patients in the two with improvement were more likely to be employed and not to have obsessive-compulsive disorder. Fast improvement was likelier than gradual improvement or no change for patients with older age, no disability (e.g., physical, learning), or lower comorbid symptom or impairment scores. Associations with functional impairment classes were more similar to associations with depression classes than anxiety classes. Results were largely consistent with findings from face-to-face therapy. This study is an important step towards personalising therapy in terms of suitability and continuation.

The mediating role of personality traits in the association between childhood trauma and depressive symptoms in young adulthood

BACKGROUND

The aim of this study was to investigate the mediating role of the Big 5 personality traits (extraversion, neuroticism, openness, agreeableness, conscientiousness) in the association between early traumatization and depressive symptoms in early adulthood (20-25-year-olds) in a German population-based sample.

METHODS

A total of 3176 participants from the German National Cohort (NAKO) baseline with an age between 20 and 25 years were included in this investigation. The sum score of the 9-item-version of the Patient Health Questionnaire was used for assessment of depressive symptoms. A structural equation model was built to test the paths between childhood trauma, Big 5 personality traits and depressive symptoms.

RESULTS

Overall, 10.7 % of the young adult sample had a PHQ-9 sum score of ten or higher. The final mediation model fitted well for young adults. We found evidence for a partial mediating effect of Big 5 personality traits.

LIMITATIONS

We only adjusted for age, sex, and year of data collection and did not include biological factors in the model.

CONCLUSION

Young adults with early trauma experiences have a risk for developing depressive symptoms in young adulthood. Personality traits, especially neuroticism, partially mediated the association between early trauma and depressive symptoms for young adults and should be recognized in preventive strategies.

Influence of intrinsic and extrinsic religiosity on youth cannabis use: A structural equation modelling analysis on national survey on drug use and health (NSDUH) 2015-2019

Religiosity may reduce the risk of substance use in adults and young people. However, religiosity is a complex construct, variously defined and assessed. We explored the role of different religious components: intrinsic (subjective), extrinsic-personal (service attendance) and extrinsic-social (church-based social activities) in deterring cannabis use among adolescents. Combining several years (2015-2019) of NSDUH data on 68,263 adolescents between 12 and 17 years, a structural equation modelling (SEM) approach was used to evaluate pathways from intrinsic and extrinsic components of religiosity to cannabis use. We analyzed the role of several covariates, including comorbid depression and secular volunteering activities. About 15% of participants said they had used cannabis at some level in the previous year. Some degree of intrinsic and of extrinsic-personal religiosity was reported by 66% and 25% of the sample. 57% were committed to at least one faith-based activity, while 74% reported participation in non-faith-based community activities. The SEM regression model -controlling for putative confounders- showed that both intrinsic and extrinsic-personal religious components reduced the likelihood of cannabis use (Cannabis use coeff.: -0.065, p = 0.001; coeff.: -0.176, p < 0.001, respectively). However, the extrinsic-social component had no effect on refraining from cannabis use, despite involvement in non-faith based volunteering activities was protectively associated. Support for secular volunteering programs may be a cost-effective mechanism for reducing cannabis use. Moreover, whilst promoting religiosity is beyond the scope of any preventive programs, religious practices should be considered relevant protective factors, deserving consideration and support in terms of public health.

Alcohol use disorder among healthcare professional students: a structural equation model describing its effect on depression, anxiety, and risky sexual behavior

BACKGROUND

Mental health problems such as depression, anxiety and alcohol use disorders are among the leading causes of disability worldwide. Among university students, alcohol use and poor mental health are associated with risky sexual behavior. Given the syndemic occurrence of these disorders most especially in young adults, we describe the relationship between them so as to guide and intensify current interventions on reducing their burden in this population.

METHODS

This was a cross-sectional study based on an online survey among healthcare professional university students that captured sociodemographic characteristics, risky sexual behavior, alcohol use disorder, generalized anxiety disorder, and depression. Structural equation modelling was used to describe the relationship between these variables using RStudio.

RESULTS

We enrolled a total of 351 participants of which 11% (37/351) had Alcohol Use Disorder, 33% (117/351) had depressive symptoms and 32% (111/351) had symptoms of anxiety. A model describing the relationship between these variables was found to fit well both descriptively and statistically [χ² = 44.437, df = 21, p-value = 0.01, CFI = 0.989, TFI = 0.980, RMSEA = 0.056]. All observed variables were found to fit significantly and positively onto their respective latent factors (AUD, anxiety, depression and risky sexual behavior). AUD was found to be significantly associated with risky sexual behavior (β = 0.381, P < 0.001), depression (β = 0.152, P = 0.004), and anxiety (β = 0.137, P = 0.001).

CONCLUSION

AUD, depression and anxiety are a significant burden in this health professional student population and there's need to consider screening for anxiety and depression in students reporting with AUD so as to ensure appropriate interventions. A lot of attention and efforts should be focused on the effect of AUD on risky sexual behavior and continued health education is still required even among health professional students.

Predictors of resilience for people with spinal cord injury over two periods of COVID-19 social distancing restrictions: a 12-month longitudinal study using structural equation modelling

BACKGROUND

The novel coronavirus (COVID-19) pandemic is disproportionately impacting the health of people with disability. Resilience has remained an important health promoting characteristic during periods of social distancing restrictions. Factors promoting resilience for people with disability under the context of the pandemic remains poorly understood. Studies have yet to investigate evidence-based factors that promote resilience over multiple periods of restrictions for people with disability.

METHODS

A longitudinal study developed via a collaborative partnership between peer-support workers with lived experience of spinal cord injury (SCI) and university researchers was undertaken to fill knowledge gaps around factors promoting resilience for people with SCI during two periods of stringent social distancing restrictions within Victoria, Australia. Over 12-months, participants with SCI completed two surveys, towards the end of two lockdown periods. Evidence-based factors associated with resilience were measured. The Impact on Participation and Autonomy Questionnaire, the International SCI Quality of Life scale, and the 10-item Conor Davidson Resilience Scale, respectively measured autonomy and participation limitations, life satisfaction and psychological health, and resilience. A structural equation modelling (SEM) approach established factors directly and indirectly associated with resilience.

RESULTS

A model with excellent fit was produced. During two extended lockdowns over the 12-month period, increased family role limitations and favourable psychological health were respectively, negatively (Lockdown 1 [n = 127]: β = -.251, p < .01, Lockdown 2: β = -.400, p < .01) and positively (Lockdown 1: β = .601, p < .01, Lockdown 2 [n = 65]: β = .430, p < .01) associated with resilience. Indirect negative associations between resilience and increased outdoor autonomy limitations (Lockdown 1: β = -.195, p < .01, Lockdown 2: β = -.255, p < .01) and social life limitations (Lockdown 1: β = -.217, p < .01, Lockdown 2: β = -.142, p < .05) existed, and these relationships were moderated by psychological health.

CONCLUSIONS

Psychological health, and participation and autonomy are determinants of resilience during periods of crisis. Health and social care providers and public health departments should prioritise programs promoting these domains, to counter the negative impact of social distancing.

Do food-related capabilities, opportunities and motivations of adolescents mediate the association between socioeconomic position in adolescence and diet quality in early adulthood?

BACKGROUND

Socio-economic position (SEP) in adolescence may influence diet quality over the life course. However, knowledge of whether individual and environmental determinants of diet quality mediate the longitudinal association between SEP and diet quality is limited. This study examined whether and to what extent food-related capabilities, opportunities and motivations of adolescents mediated the longitudinal association between SEP in adolescence and diet quality in early adulthood overall and by sex.

METHODS

Longitudinal data (annual surveys) from 774 adolescents (16.9 years at baseline; 76% female) from ProjectADAPT (T1 (baseline), T2, T3) were used. SEP in adolescence (T1) was operationalized as highest level of parental education and area-level disadvantage (based on postcode). The Capabilities, Opportunities and Motivations for Behaviour (COM-B) model was used as a framework to inform the analysis. Determinants in adolescence (T2) included food-related activities and skills (Capability), home availability of fruit and vegetables (Opportunity) and self-efficacy (Motivation). Diet quality in early adulthood (T3) was calculated using a modified version of the Australian Dietary Guidelines Index based on brief dietary questions on intake of foods from eight food groups. Structural equation modelling was used to estimate the mediating effects of adolescents' COM-B in associations between adolescent SEP and diet quality in early adulthood overall and by sex. Standardized beta coefficients (β) and robust 95% confidence intervals (CI) were generated, adjusted for confounders (T1 age, sex, diet quality, whether still at school, and living at home) and clustering by school.

RESULTS

There was evidence of an indirect effect of area-level disadvantage on diet quality via Opportunity (β: 0.021; 95% CI: 0.003 to 0.038), but limited evidence for parental education (β: 0.018; 95% CI: -0.003 to 0.039). Opportunity mediated 60.9% of the association between area-level disadvantage and diet quality. There was no evidence of an indirect effect via Capability or Motivation for either area-level disadvantage or parental education, or in males and females separately.

CONCLUSIONS

Using the COM-B model, the home availability of fruit and vegetables (Opportunity) of adolescents explained a large proportion of the association between area-level disadvantage in adolescence and diet quality in early adulthood. Interventions to address poor diet quality among adolescents with a lower SEP should prioritize environmental determinants of diet quality.

Does using the sociodental approach in oral health care influence use of dental services and oral health of adolescents living in deprived communities? a one-year follow up study

BACKGROUND

Oral health needs assessment is important for oral health care planning. This study compared dental treatment needs between normative and sociodental needs. We also longitudinally examined the relationships of baseline sociodental needs measures and socioeconomic status with one-year follow up measures of use of dental services, dental caries, filled teeth, and oral health-related quality of life (OHRQoL).

METHODS

A prospective study was conducted with 12-year-old adolescents from public schools in deprived communities in the city of Manaus, Brazil. Validated questionnaires were used to collect adolescents' sex and socioeconomic status, OHRQoL (CPQ_11 - 14) and behaviours (sugar intake, frequency of toothbrushing, regular use of fluoridated toothpaste and pattern of dental attendance). Normative need was assessed according to decayed teeth, clinical consequences of untreated dental caries, malocclusion, dental trauma, and dental calculus. The relationships between variables were tested thorough Structural equation modelling.

RESULTS

Overall 95.5% of adolescents had normative dental treatment needs. Of these, 9.4% were classified as high level of propensity. Higher normative/impact need and greater propensity-related need directly predicted use of dental services at one-year follow up. The latter mediated the association of normative/impact need and propensity-related need with incidence of dental caries and filled teeth. Normative/impact need and use of dental services were directly associated with filled teeth at one-year follow up. Poor OHRQoL at one-year follow-up was directly predicted by higher normative/impact need at baseline and less filled teeth at one-year follow up. Greater socioeconomic status was directly associated with better propensity-related need. Socioeconomic status indirectly predicted incidence of dental caries and filled teeth via propensity-related need and use of dental services.

CONCLUSIONS

Sociodental needs measures were related to use of dental services, dental caries, filled teeth and OHRQoL after one year among adolescents living in deprived communities. Adolescents with dental needs treatment priorities according to the sociodental approach had more filled teeth via use of dental services. Dental services utilisation did not attenuate the impact of normative and impact-related need on dental caries incidence and poor OHRQoL after one year. Our findings suggest the importance of developing oral health promotion and enhancing access to dental care to improve oral health of adolescents living in deprived communities.

The influence of green finance availability to retailers on purchase intention: a consumer perspective with the moderating role of consciousness

As the global warming crisis is increasing daily, it is crucial to find ways to reduce the carbon footprint generated by activities like the production, consumption, and distribution of goods and services. This empirical study has looked at one approach through which environment-friendly production and consumption can be encouraged. The developed model has studied the relationship between retailers' access to green finance and consumer purchase intention of green products by incorporating the role of environmental, status, and future consciousness. Theoretical foundations for this model have been taken from the theory of planned behaviour (TPB) and theory of reasoned action (TRA), which have extensively discussed the role of consciousness and societal norms while making purchase intentions. To gain insights about the purchasing behaviour of consumers, this study collected data from the Jiangsu province of China, where a non-probability convenience sampling technique was used to distribute a questionnaire to 400 respondents between February 2022 and August 2022. The collected data was analysed using Structural Equation Modeling (SEM) in SmartPLS in order to study the relationship between independent and dependent variables. Results of this study show that retailers' access to green finance positively impacts consumer purchase intention towards green products, and adding a consciousness perspective in the model strengthens this relationship. Moreover, the theory of planned behaviour and the theory of reasoned action were validated through this study, providing insights for policymakers on the importance of promoting green finance to influence green product purchase intention. Overall, this study shows that policymakers should give green financing to retailers and environmental and future awareness to consumers to encourage environment-friendly behaviour.

Financial literacy and inclusion for rural agrarian change and sustainable livelihood in the Eastern Cape, South Africa

Finance and growth underpin the debate on the implication of financial literacy and financial inclusion for development among scholars. While financial inclusion and financial literacy are positioned as enablers of sustainable development, literature has failed to link the two with sustainable development, especially for rural agrarian dwellers in dire need of financial development attributes. Therefore, this study applied variance-based structural equation modelling to examine the implication of financial literacy and financial inclusion for the sustainable livelihood of rural agrarian settlers in the Eastern Cape province of South Africa. Global scales were adapted and validated before administering them to 283 farmers and subsistence businesses in the region. The results revealed that financial literacy positively and significantly influences financial inclusion (β = 0.452) and the attainment of sustainable livelihood (β = 0.444). Financial inclusion partially mediates the influence of financial literacy on sustainable livelihood (β = 0.253), as it directly explains the province's sustainable livelihood (β = 0.114). The study's implication informs structured intervention for improving financial literacy to assist the target group with access to requisite funding, which could support their economic activities for a decent living.

Do executive functions buffer against COVID-19 stress?: A latent variable approach

Levels of COVID-19 stress have soared worldwide as a result of the pandemic. Given the pernicious psychological and physiological effects of stress, there is an urgent need for us to protect populations against the pandemic's psychological impact. While there exists literature documenting the prevalence of COVID-19 stress among various populations, insufficient research has investigated psychological factors that might mitigate this worrying trend. To address this gap in the literature, the current study seeks to examine executive functions as a potential cognitive buffer against COVID-19 stress. To do so, the study adopted a latent variable approach to examine three latent factors of executive functions and their relation to COVID-19 stress among a sample of 243 young adults. Structural equation models showed differential associations between COVID-19 stress and the latent factors of executive functions. While the latent factor of updating working memory was associated with attenuated COVID-19 stress, task switching and inhibitory control were not significantly associated with COVID-19 stress. These results further our understanding of the critical processes of executive functions and highlight the nuanced link between executive functions and pandemic-related stress.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12144-023-04652-8.

Gender differences in pathways influencing leisure time physical activity: A structural equation analysis

BACKGROUND AND AIMS

Growing interest in exploring pathways that explain the relationship between various influences on physical activity might help in explaining the complexity of this behavior. This study attempts to identify pathways that interact between the physical and social environment and leisure-time physical activity and identify gender differences in these pathways.

METHODS

A survey was conducted in the Kottayam district of Kerala in India from July 2018-December 2019 to examine direct and indirect pathways of various factors that impact leisure-time physical activity. 467 adults in the age group of 18-65 years, was enquired about various individual and environmental factors that affect their physical activity levels. Structural equation modeling was employed to test the relationship among different variables.

RESULTS

The study found that there was a significant indirect effect of intrapersonal and environmental influences in the pathways that affected leisure-time physical activity. Among men, there was a significant association between self-efficacy and motivation and environmental influences (environmental factors, p = 0.019; body-related motivation p = 0.012, motivation for social motives reasons, p = 0.005); however, among women, environmental factors influence only through extrinsic motives related to body image and appearance (environmental factors, p = 0.009, motivation for appearance, p = 0.05).

CONCLUSION

The study concludes that although intrapersonal factors like self-efficacy and extrinsic motives like health and fitness are salient predictors of physical activity, environmental factors play a supportive role in enhancing engagement in leisure time activity. Future interventions should be tailored to meet gender-specific interests to promote regular physical activity among adults.

Loneliness and trust issues reshape mental stress of expatriates during early COVID-19: a structural equation modelling approach

OBJECTIVES

To explore relationship among perceived stress regarding loneliness, interpersonal trust and institutional trust of expatriates during the early COVID-19 period (from 30^th March to 30^th May 2020).

METHODS

Data from  21,439 expatriates were extracted from COVIDiSTRESS global survey. The outcome variable was perceived stress. The explanatory variables were age, perceived loneliness, trust (interpersonal and institutional). Pairwise correlation, and structural equation modelling were used to determine relationship among outcome and explanatory variables.

RESULTS

The majority of the expatriates were female (73.85%), married (60.20%), had college degree (47.76%), and employed (48.72%). Over 63% of the total expatriates reported that the COVID-19 pandemic changed their lives. The average age of the respondents was 40.4 years (± 13.7), and the average score of perceived stress, loneliness, interpersonal and institutional trust were 25.5, 7.4, 14.2 and 40.4, respectively. We found a moderate correlation of perceived stress with age, perceived loneliness, interpersonal trust and institutional trust (p < 0.001). They were also found moderately related to each other. Structural equation modelling evaluated that a lack of trust can cause loneliness among expatriates, which later lead to perceived stress. Interpersonal trust was more likely to be associated with stress than institutional trust, whereas perceived loneliness mediated between both trusts and perceived stress.

CONCLUSION

Perceived stress can be reduced through trusting others and alleviating the loneliness. Making strong linkage among migrants as well as between migrants and local community is important to ensure proper mental wellbeing of expatriates.

Structural equation modelling to estimate facial soft tissue thickness parameters based on ethnicity, gender and body mass index: a secondary study on an Iranian dataset

PURPOSE

According to the anthropological importance of soft facial tissue thickness parameters, we aimed to find the association of these parameters with Lur and Arab ethnicities, gender and body mass index (BMI). Structural equation modeling (SEM) was used.

METHODS

As a secondary analysis, SEM was performed on a dataset of 100 participants. The participants were from Lur and Arab populations of Ahvaz province, Iran, from those who referred for magnetic resonance imaging (MRI) due to headache.

RESULTS

Multivariate regression illustrated that mental eminence (ME), chain-lip fold (CLF) and end of nasals (END) could not be predicted by the independent variables (p > 0.05). Right masseteric region (RMST) had the maximum predictability with R² = 0.365, followed by middle philtrum (MID) with R² = 0.358 (p < 0.001). With respect to our criterion to enter SEM, i.e. existing at least two significant covariates at significance level of 0.05, among staying parameters, only parameters of nasion (NA), MID, superior lip (SL), RMST and left masseteric region (LMST) remained. Among these cases, MID was the only parameter that its three covariates illustrated significant association.

CONCLUSION

MID parameter can be predicted by gender, BMI and Arab ethnicity. By carrying out such studies and creating database, such information can be used in plastic surgery, corpse identification, and facial reconstruction software in archeology.

"I did not see that coming": A latent variable structural equation model for understanding the effect of road predictability on crashes along horizontal curves

Driver anticipation plays a crucial role in crashes along horizontal curves. Anticipation is related to road predictability and can be influenced by roadway geometric design. Therefore, it is essential to understand which geometric design elements can influence anticipation and cause the road to be (un)predictable. This exercise, however, is not straightforward because anticipation is individual-specific whereas road geometric design is location-specific; anticipation is latent and measuring it may not be trivial; anticipation may have several stages from the preceding tangent until the midst of the curve; and not all drivers anticipate in the same way and thus there may well be unobserved heterogeneity in the effect of anticipation on crash risk. Despite methodological advancements in crash risk modelling, there is no econometric model that can adequately explain the above complexities. This study aims to fill this gap by developing an econometric model with a new latent variable, named 'predictability' that is measured by individual-specific driving behaviour indicators and predicted by location-specific road geometric factors. The model is specified with random parameters to account for unobserved heterogeneity and is empirically tested by a unique dataset including detailed geometric design and driver behaviour data obtained for 156 curves in the Netherlands. Results indicate that higher exposure and uphill vertical grade are associated with increased likelihood of vehicle crashes along horizontal curves, whereas adequate superelevation and higher predictability are associated with decreased likelihood of those crashes. Pavement friction influences this likelihood too but it has varied effects. Road predictability is influenced by the differences in angle of horizontal curves, vertical grades, and width of consecutive road segments.

How does anthropogenic activity influence the spatial distribution of dissolved organic matter in rivers of a typical basin located in the Loess Plateau, China

River ecosystems interact strongly with adjacent terrestrial environments and receive dissolved organic matter (DOM) from a variety of sources, all of which are vulnerable to human activities and natural processes. However, it is unclear how and to what extent human and natural factors drive DOM quantity and quality changes in river ecosystems. Here, three fluorescence components were identified via optical techniques, including two humic-like substances and one protein-like component. The protein-like DOM was mainly accumulated in anthropogenically impacted regions, while humic-like components exhibit the opposite trend. Furthermore, the driving mechanisms of both natural and anthropogenic factors on the variations in DOM composition were investigated using partial least squares structural equation modelling (PLS-SEM). Human activities, especially agriculture, positively influence the protein-like DOM directly by enhancing anthropogenic discharge with protein signals and also indirectly by affecting water quality. Water quality directly influences the DOM composition by stimulating in-situ production through a high nutrient load from anthropogenic discharge and inhibiting the microbial humification processes of DOM due to higher salinity levels. The microbial humification processes can also be restricted directly by a shorter water residence time during the DOM transport processes. Furthermore, protein-like DOM was more sensitive to direct anthropogenic discharge than indirect in-situ production (0.34 vs. 0.25), especially from non-point source input (39.1%), implying that agricultural industry optimization may be an efficient way to improve water quality and reduce protein-like DOM accumulation.

Do objective and subjective traffic-related pollution, physical activity and nature exposure affect mental wellbeing? Evidence from Shenzhen, China

Urban environment (e.g. greenspaces, air pollution and traffic noise) and individuals' behaviours (e.g. physical activity) have all been associated with mental wellbeing. The large majority of studies on the influence of nature exposure on mental wellbeing assumed that multiple pathways act independently, ignoring the interactions among potential correlated pathways that engage simultaneously. The parallel mediation approach fails to explore the complex associations of combined exposure to air pollution, traffic noise and nature exposure with physical activity, which in turn affect mental wellbeing. Hence, the interest of understanding the sophisticated interactions among different pathways is warranted. We utilized structural equation modelling to simultaneously evaluate whether actual and perceived traffic-related pollution and physical activity mediate the associations between mental wellbeing and nature exposure, which was assessed by Normalized Difference Vegetation Index (NDVI), green view index (GVI), green space density and park accessibility. In summer 2022, we conducted questionnaires from 1772 adults residing in 117 neighbourhoods in Shenzhen, China. Nature exposure was positively and directly associated with mental wellbeing in the single mediator model that considered physical activity only. The indirect effects of nature exposure on mental wellbeing were observed through all pathways in all models, except through the perceived acoustic quality pathway in the serial mediation model. In addition, the percentage mediated by perceived air quality was higher than that of perceived acoustic quality. The influence of nature exposure on mental wellbeing was only for a small proportion mediated by the physical activity pathway. The associations between nature exposure and mental wellbeing were modified by individual characteristics, such as gender, age, income level and alcohol usage, but not employment status and smoking behaviour. These findings point out the importance of both objective and subjective environmental features and human behaviours on mental wellbeing, as well as the necessity of considering multiple pathways simultaneously.

Geo-environmental factors' influence on mining operation: an indirect effect of managerial factors

The purpose of the paper is to identify factors associated with operational factor (OF), geo-environmental factor (GEF), and managerial factor (MF) from the literature. After identification, the study intended to assess the impact of geo-environmental factors and managerial factors on operational factors of the mining industry. The study also tests the indirect effect of managerial factors between GEF and OF in the Indian environment. The geographical boundary of the study was 06 large mines of Odisha, Jharkhand, and Chhattisgarh of India. Three hundred and twenty nine number of purposive samples were collected via email and filtered and processed through the SPSS package. To find out the complex role and inter-relationship of GEF and MF on OF, the study adopted the structural equation modelling technique. The finding reflects that MF plays a partial mediation among GEF and OF. This phenomenon is completely novel in its field when it comes to the geo-environmental and management difficulties confronting mining operations. This research can aid managers in identifying key geological and environmental concerns in mining operations, as well as providing data for regulatory compliance. Overall, this study's findings can help management create policies and manage the environmental concerns of the mining sector. The study's findings provide important directions for future Indian mining research.

Homopositivity Across Europe: Predictors, Pathways, and Moderators

Although homopositivity, the attitudinal acceptance of homosexuality, has generally increased across Western societies, there remains considerable homonegativity across certain regions of the world as well as certain demographic and socioeconomic groups. Although previous cross-national research has successfully identified the key factors affecting homopositive attitudes, the literature neglects both potentially key mediation pathways and moderating interactions between those factors that may unlock more nuanced understanding of these variations in homopositive attitudes across individuals and places. In response, the present study innovatively applied a multivariate structural equation modelling approach to the latest Wave 9 (2018 data) of the large-scale cross-national European Social Survey data in order to shed new light on these currently neglected predictors, pathways, and moderating influences on homopositive attitudes. It used a three-item latent variable to measure the homopositive attitudes outcomes construct. Its explanatory variables were focused across three key sets of factors identified in theoretical and empirical literature (socioeconomics, religiosity, and values) alongside various wider controls. Our analyses made several innovative methodological and empirical contributions to existing debate. Key innovative findings include the original identification of important indirect effects of religious beliefs on homopositive attitudes via religious practices, important indirect effects of education on homopositive attitudes via household income, and the role of national welfare regimes to homopositive attitudes (and with its effects interestingly not moderated by household income).

Option or necessity: Role of environmental education as transformative change agent

There is a consensus around the importance of environmental education in mitigating the ill effects of environmental problems and preserving the natural environment and promoting green behaviours. The present paper studies the role of environmental education based on transformative learning theory. It intends to present and test a model proposal using sequential mediation analysis of several constructs as the Environmental Education Support (EES) and Volunteer Attitude (VA). A quantitative study was carried out by using data obtained through online questionnaires from several Indian and Brazilian Higher Education Institutions. A multivariate statistical method was employed to analyse the data by using partial least squares structural equation modelling. The results demonstrated that environmental education positively influences students' environmental concern, willingness to be environmentally friendly, and volunteer attitude. As a novelty, it reports that environmental education beliefs, concern for the environment and willingness to be environmentally friendly sequentially mediate the relationship between environmental education support and volunteering attitude.

The potential impact of future climate change on the production of a major food and cash crop in tropical (sub)montane homegardens

Tropical agroforestry systems support the wellbeing of many smallholder farmers. These systems provide smallholders with crops for consumption and income through their ecological interactions between their tree, soil, and crop components. These interactions, however, could be vulnerable to changes in climate conditions; yet a reliable understanding of how this could happen is not well documented. The aim of this study is to understand how tree-soil-crop interactions and crop yield are affected by changes in climate conditions, which has implications for recognising how these systems could be affected by climate change. We used a space-for-time climate analogue approach, in conjunction with structural equation modelling, to empirically examine how warmer and drier climate conditions affects tree-soil-crop interactions and banana yield in Mt. Kilimanjaro's homegarden agroforest. Overall, the change in climate conditions negatively affected ecological interactions in the homegardens by destabilizing soil nutrient cycles. Banana yield, however, was mainly directly influenced by the climate. Banana yields could initially benefit from the warmer climate before later declining under water stress. Our findings imply that under increasingly warmer and drier climate conditions, homegarden agroforestry may not be a robust long-term farming practice which can protect smallholder's wellbeing unless effective irrigation measures are implemented.

A structural equation modelling of the direct and indirect factors associated with functional status over time as measured by WHODAS-32 items among postpartum women in Northwest Ethiopia

INTRODUCTION

Full functional status recovery which is a multidimensional concept, that includes personal care, infant and family care, social and occupational activities and adjusting to the role of motherhood may require several months to achieve. However, most study designs on postpartum maternal functional status were cross-sectional, providing limited insights into functional status patterns over time and the mediating relationships among variables associated with it during the postpartum period.

OBJECTIVE

To investigate the patterns of functional status over time and the mediating relationships among variables associated with functional status after childbirth.

METHODS

From October 2020 to March 2021, 775 women in Northwest Ethiopia participated in a community-based follow-up study that was linked to a health institution. Functional status was measured by the Amharic version of WHODAS 2.0 instrument. Structural equation modelling was used to determine the direct and indirect effects of predictor variables on individual domains of functional status as measured by WHODAS 2.0 instrument.

RESULTS

Higher fear of childbirth score, anxiety and PTSD score had a direct deleterious effect (increased risk of functional disability) on the overall functional status and six domains of WHODAS 2.0 (cognition, mobility, self-care, getting along with people, household life activities and community participation) at the first, second and third follow up periods. Higher social support had a direct protective effect (decreased risk of functional disability) on all domains of WHODAS 2.0 and the overall functional status at the three follow up periods. Higher social support had also an indirect protective effect through fear of birth on the six domains of WHODAS 2.0 and the overall functional status throughout the follow up period. Higher PTSD symptom score had also an indirect deleterious effect (increased risk of functional disability) through fear of birth on the overall functional status and six domains of WHODAS 2.0 (higher disability) throughout the follow up period. Complications of delivery management had a direct deleterious effect (increased disability score) on the domains of getting along with people, household life activities, mobility, self-care and community participation and on the overall functional status disability score.

CONCLUSION

Maternal functioning in the postpartum period is initially impaired, but improves over time. Despite improvement, maternal morbidities are correlated with worse functioning scores compared to women without these morbidities. Interventions should target on the mediating role of fear of child birth, life threatening event of health risk and PTSD with the deleterious effects of complications of delivery management, poor social support, vaginal mode of delivery, anxiety, poor physical and mental quality of life on functional status of postpartum women.

The effect of high polycyclic aromatic hydrocarbon exposure on biological aging indicators

BACKGROUND

Aging represents a serious health and socioeconomic concern for our society. However, not all people age in the same way and air pollution has been shown to largely impact this process. We explored whether polycyclic aromatic hydrocarbons (PAHs), excellent fossil and wood burning tracers, accelerate biological aging detected by lymphocytes DNA methylation age (DNAmAge) and telomere length (TL), early nuclear DNA (nDNA) hallmarks of non-mitotic and mitotic cellular aging, and mitochondrial DNA copy number (mtDNAcn).

METHODS

The study population consisted of 49 male noncurrent-smoking coke-oven workers and 44 matched controls. Occupational and environmental sources of PAH exposures were evaluated by structured questionnaire and internal dose (urinary 1-pyrenol). We estimated Occup_PAHs, the product of 1-pyrenol and years of employment as coke-oven workers, and Environ_PAHs, from multiple items (diet, indoor and outdoor). Biological aging was determined by DNAmAge, via pyrosequencing, and by TL and mtDNAcn, via quantitative polymerase chain reaction. Genomic instability markers in lymphocytes as target dose [anti-benzo[a]pyrene diolepoxide (anti-BPDE)-DNA adduct], genetic instability (micronuclei), gene-specific (p53, IL6 and HIC1) and global (Alu and LINE-1 repeats) DNA methylation, and genetic polymorphisms (GSTM1) were also evaluated in the latent variable nDNA_changes. Structural equation modelling (SEM) analysis evaluated these multifaceted relationships.

RESULTS

In univariate analysis, biological aging was higher in coke-oven workers than controls as detected by higher percentage of subjects with biological age older than chronological age (AgeAcc ≥ 0, p = 0.007) and TL (p = 0.038), mtDNAcn was instead similar. Genomic instability, i.e., genotoxic and epigenetic alterations (LINE-1, p53 and Alu) and latent variable nDNA_changes were higher in workers (p < 0.001). In SEM analysis, DNAmAge and TL were positively correlated with Occup_PAHs (p < 0.0001). Instead, mtDNAcn is positively correlated with the latent variable nDNA_changes (p < 0.0001) which is in turn triggered by Occup_PAHs and Environ_PAHs.

CONCLUSIONS

Occupational PAHs exposure influences DNAmAge and TL, suggesting that PAHs target both non-mitotic and mitotic mechanisms and made coke-oven workers biologically older. Also, differences in mtDNAcn, which is modified through nDNA alterations, triggered by environmental and occupational PAH exposure, suggested a nuclear-mitochondrial core-axis of aging. By decreasing this risky gerontogenic exposure, biological aging and the consequent age-related diseases could be prevented.

Staphylococcus aureus hitchhiking from colonization to bacteremia via Candida within ICU infection prevention studies: a proof of concept modelling

Whether Candida within the patient microbiome drives the pathogenesis of Staphylococcus aureus bacteremia, described as microbial hitchhiking, cannot be directly studied. Group-level observations from studies of various decontamination and non-decontamination-based ICU infection prevention interventions and studies without study interventions (observational groups) collectively enable tests of this interaction within causal models. Candidate models of the propensity for Staphylococcus aureus bacteremia to arise with versus without various antibiotic, anti-septic, and antifungal exposures, each identified as singleton exposures, were tested using generalized structural equation modelling (GSEM) techniques with Candida and Staphylococcus aureus colonization appearing as latent variables within the models. Each model was tested by confrontation against blood and respiratory isolate data, obtained from 467 groups within 284 infection prevention studies. Introducing an interaction term between Candida colonization and Staphylococcus aureus colonization substantially improved GSEM model fit. Model-derived coefficients for singular exposure to anti-septic agents (- 1.28; 95% confidence interval; - 2.05 to - 0.5), amphotericin (- 1.49; - 2.3 to - 0.67), and topical antibiotic prophylaxis (TAP; + 0.93; + 0.15 to + 1.71) as direct effects versus Candida colonization were similar in magnitude but contrary in direction. By contrast, the coefficients for singleton exposure to TAP, as with anti-septic agents, versus Staphylococcus colonization were weaker or non-significant. Topical amphotericin would be predicted to halve both candidemia and Staphylococcus aureus bacteremia incidences versus literature derived benchmarks for absolute differences of < 1 percentage point. Using ICU infection prevention data, GSEM modelling validates the postulated interaction between Candida and Staphylococcus colonization facilitating bacteremia.

Cropland carbon stocks driven by soil characteristics, rainfall and elevation

Soil organic carbon (SOC) can influence atmospheric CO₂ concentration and then the extent to which the climate emergency is mitigated globally. It follows the elucidation of the driving factors of cropland SOC stocks, which is fundamental to reducing soil carbon loss and promoting soil carbon sequestration. Here, we examined the influence of 16 environmental variables on SOC stocks and sequestration based on three machine learning soil mapping methods, i.e. multiple linear regression (MLR), random forest (RF) and extreme gradient boosting (XGBOOST), with 2875 observed soil samples from cropland topsoil across Hunan Province, China in 2010. We employed a structural equation model (SEM) to extricate the driving mechanisms of environmental variables on SOC stocks at the regional scale. Our results show that XGBOOST had the most reliable performance in predicting SOC stocks, explaining 66 % of the total SOC stock variation. Croplands with high SOC stocks were distributed in low-altitude and water-sufficient areas. The partial dependence of SOC on precipitation showed a trend of increasing and then slowly decreasing. In addition, the grid-based SEM results clearly presented the direct and indirect routes of environmental variables' impacts on cropland SOC stocks. Soil properties regulated by elevation, were the most influential natural factor on SOC stocks. Precipitation and elevation drove SOC stocks through direct and indirect effects respectively. Our SEM combined with machine learning approach can provide an effective explanation of the driving mechanism for SOC accumulation. We expect our proposed modelling approach can be applied to other regions and offer new insights, as a reference for mitigating cropland soil carbon loss under climate emergency conditions.

Enhancing ERP Responsiveness Through Big Data Technologies: An Empirical Investigation

Organizations are integrating big data technologies with Enterprise Resource Planning (ERP) systems with an aim to enhance ERP responsiveness (i.e., the ability of the ERP systems to react towards the large volumes of data). Yet, organizations are struggling to manage the integration between the ERP systems and big data technologies, leading to lack of ERP responsiveness. For example, it is difficult to manage large volumes of data collected through big data technologies and to identify and transform the collected data by filtering, aggregating and inferencing through the ERP systems. Building on this motivation, this research examined the factors leading to ERP responsiveness with a focus on big data technologies. The conceptual model which was developed through a systematic literature review was tested using Structural equation modelling (SEM) performed on the survey data collected from 110 industry experts. Our results suggested 12 factors (e.g., big data management and data contextualization) and their relationships which impact on ERP responsiveness. An understanding of the factors which impact on ERP responsiveness contributes to the literature on ERP and big data management as well as offers significant practical implications for ERP and big data management practice.

Customer integration in the supply chain: the role of market orientation and supply chain strategy in the age of digital revolution

Ever increasing demand for customization and product diversity from the customers has made it important for firms to predict changes in the customer demand patterns and adopt accordingly. Customer integration allows firms to understand customers and respond to their particular needs in a better way. This study investigates the mechanisms through which customer integration is developed and affects supply chain performance. We develop a structural model underlining the role of market orientation and supply chain strategy as factors affecting the degree of customer integration. We also investigate the contingency role of marketing - supply chain integration in these relationships. We test the hypothesized model using data from Pakistani manufacturing organizations using structural equation modelling. Our results provide support for the study hypotheses except that marketing-supply chain alignment does not moderate the relationship between supply chain strategy and customer integration.