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Few have studied the relationship between employment and health in the Medicaid population. The purpose of this study is to estimate the impact of job loss on the mental health of working Medicaid beneficiaries.

This study conducted a post hoc analysis of 1,538 adult Medicaid beneficiaries enrolled in a prospective cohort study. The authors matched participants who lost their job to participants who remained employed based on demographics, illness severity and social determinants of health. The authors estimated the effect of job loss on the odds of a diagnosis of depression and/or anxiety and self-reported mental health during a one-year follow-up period, stratified by prior history of depression and/or anxiety as documented in the Medicaid claims.

Among participants with no preexisting depression or anxiety, the incidence of depression or anxiety was 17% versus 7% (aOR = 2.85; 95% confidence interval (CI): 1.88 to 4.34) between those who lost versus kept their job, respectively, and the mean difference in self-reported mental health was −4.3 (95% CI: −6.02 to −2.58). Self-reported mental health was also poorer between those who lost versus kept their job among participants with preexisting depression and/or anxiety (x = −4.78 (95% CI: −8.90 to −0.66).

Limitations of this study are as follows: we may not have matched on all factors that influence retaining a job; we do not distinguish between involuntary and voluntary job loss; generalizability is limited; and employment information is based on self-report.

Our society should invest more resources into supporting low-wage workers such as Medicaid beneficiaries.

Active labor policies that connect people to jobs, help them retain their job and support skills training to secure a better quality job, could reduce health disparities in the Medicaid population.

Use of both claims and self-reported mental health information to evaluate the impact of job loss on working Medicaid beneficiaries.

Online platforms are providing diversified and personalized services with user information. Users should decide if they should give up parts of information for convenience, with their information being at the risk of being illegally collected, leaked, spread and misused. This study aims to explore the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust, and the authors extend previous research with two moderators.

Based on 48 independent empirical studies, this paper conducted a meta-analysis to synthesize existing results from collected individual studies. This meta-analysis explored the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust.

The meta-analysis results based on 48 independent studies revealed that perceived benefit, trust, subjective norm and perceived behavioral control have significant positive effects, while perceived privacy risk and privacy concern have significant negative effects. Moreover, cultural background and platform type moderate the relationship between antecedents and online information disclosure intention.

This paper explored the moderating effects of an individual factor and a platform factor on users' online information disclosure intention. The moderating effect of cultural differences is examined with Hofstede's dimensions, and the moderating role of the purpose of online information disclosure is examined with platform type. This study extends online information disclosure literature with a multi-perspective meta-analysis and provides guidelines for practitioners.

Advertisements for dietary supplements (DS) often include misleading claims regarding their health benefits. In this study, the authors designed an online advertisement for plant-based DS featuring misleading claims and investigated its effects on mature Chinese consumers before and after revealing the false claims. A consumer involvement framework was developed to evaluate the mediating effect of advertising involvement (AI) on the correlation between product involvement (PI), situational involvement (SI) and purchase intention (PI).

A total of 467 mature adults aged over 40 years who resided in China's Yangtze River Delta region and had experience in purchasing DS online were recruited. Relevant data were collected through an online survey and analysed through structural equation modelling.

Cognitive PI was positively correlated with both SI and PI and SI was positively correlated with PI. AI negatively moderated the correlation between affective PI and SI. Both cognitive PI and AI were positively correlated with PI and the correlation was mediated through SI.

DS consumption is a rational decision-making process driven by utilitarian motives. Consumers who are aware of the misleading claims adopt a cautious evaluation approach and place themselves in specific purchase situations before making a purchase decision. This study advances the literature by incorporating the consideration of misleading advertisements into the consumer involvement model within the context of online DS consumption. The study's findings provide insights to intensify monitoring of false advertisements in the DS industry and design effective consumer education programmes.

The purpose of this paper is to find a simpler model for the reactance components in the high-frequency range on the premise of ensuring the accuracy.

In this paper, based on the fractional calculus theory and the traditional integer-order model, a reactance model suitable for high frequency is constructed, and the mutation cross differential evolution algorithm is used to identify the parameters in the model.

By comparing the integer-order model, high-frequency fractional-order model and the actual impedance characteristic curve of inductance and capacitance, it is verified that the proposed model can more accurately reflect the high-frequency characteristics of inductance and capacitance. The simulation and experimental results show that the oscillator constructed based on the proposed model can analyze the frequency and output waveform of the oscillator more accurately.

The model proposed in this paper has a simple structure and contains only two parameters to be identified. At the same time, the model has high precision. The fitting errors of impedance curve and phase-frequency characteristic curve are less than 5%. Therefore, the proposed model is helpful to improve the simplicity and accuracy of circuit system analysis and design.

The purpose of this paper is to report an empirical study on children's buying behaviour in China, with a special focus on their information sources.

The key literature on consumer socialisation of children is reviewed. Primary data were collected from a sample of 155 children aged ten‐13 using questionnaire survey. Various statistical methods such as Pearson correlation and tests were employed to analyse the data.

Chinese children regard television commercials as an important information source for new products. However, they place greater level of trust in interpersonal information sources, especially in their parents who are perceived as the most credible information source with respect to their learning about new food products.

The paper has made a contribution to the extant literature on Chinese children as consumer. The findings would be valuable in assisting companies, specially those in the food industry, to have a better understanding of Chinese children's buying behaviour.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

The purpose of this paper is to test a mediated moderation model of the joint influence of abusive supervision, high-performance work systems (HPWSs) and organizational commitment and intention to leave on employee silence.

Data were collected from 456 employees and 78 human resource managers in 78 Chinese organizations.

The results revealed that abusive supervision led to subordinate silence, and HPWSs intensified this effect. In addition, such moderating effect of HPWSs was accounted for by employees’ organizational commitment and intention to leave.

To reduce the occurrence of employee silence, organizations should not only monitor and restrain abusive supervisory actions, but also be aware of subordinates’ work attitudes driven by organizational HPWSs.

This is the first study which demonstrates that HPWSs can foster employees’ organizational commitment and hinder their intention to leave and consequently strengthen the relation between abusive supervision and employee silence.

Effectively engaging patients is critical for the sustainable development of online health communities (OHCs). Although physicians’ general knowledge-sharing, which is free to the public, represents essential resources of OHCs that have been shown to promote patient engagement, little is known about whether such knowledge-sharing can backfire when superfluous knowledge-sharing is perceived as overwhelming and anxiety-provoking. Thus, this study aims to gain a comprehensive understanding of the role of general knowledge-sharing in OHCs by exploring the spillover effects of the depth and breadth of general knowledge-sharing on patient engagement.

The research model is established based on a knowledge-based view and the literature on knowledge-sharing in OHCs. Then the authors test the research model and associated hypotheses with objective data from a leading OHC.

Although counterintuitive, the findings revealed an inverted U-shape relationship between general knowledge-sharing (depth and breadth of knowledge-sharing) and patient engagement that is positively associated with physicians’ number of patients. Specifically, the positive effects of depth and breadth of general knowledge-sharing increase and then decrease as the quantity of general knowledge-sharing grows. In addition, physicians’ offline and online professional status negatively moderated these curvilinear relationships.

This study further enriches the literature on knowledge-sharing and the operations of OHCs from a novel perspective while also offering significant specific implications for OHCs practitioners.