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While several studies have reported a relationship between chronic daily headache (CDH) and different dietary patterns, no study has investigated the association between CDH and the dietary inflammatory index (DII). This study aims to hypothesize that a higher DII score (proinflammatory diets) is associated with higher odds of CDH.

This cross-sectional study was performed using the baseline data of the Dena PERSIAN cohort study, including demographic information, body mass index, medical history, laboratory tests, sleep duration and blood pressure. The DII was computed based on the data collected by a valid 113-item food frequency questionnaire and a 127-item indigenous food questionnaire. The association between CDH and DII score was analyzed by simple and multiple logistic regression.

Out of 3,626 people included in the study, 23.1% had CDH. The median DII was −0.08 (interquartile range = 0.18). People in the third and fourth quartiles of DII (proinflammatory diet) had a 20% (odds ratio: 0.80; 95% confidence interval: 0.65–1) and a 25% (odds ratio: 0.75; 95% confidence interval: 0.61–0.94) lower chance of having CHD than those in the first quartile, respectively. After adjustment for confounding variables, this association did not remain statistically significant (p > 0.05).

Although the analysis conducted without adjustment for medical history showed a significant association between proinflammatory diet and reduced CDH, considering the diverse etiology of different types of headaches and the paucity of studies in this area, further studies are needed to investigate the DII score of patients by the type of headache, its severity and duration.

This paper aims to illustrate, by means of a content analysis of 278 weekly School Meeting minutes, the ways in which student voice is actualized in one democratic free school in Germany.

This paper uses a qualitative content analysis methodology of 278 weekly School Meetings minutes.

This paper uses Fielding’s (2012) patterns of partnership typology to illustrate what counts as student voice and participation in a democratic free school.

Limitations included being reliant on translations of German texts, some missing minutes from the entire set, the lack of a single author for the minutes (and thus degree of detail differs) and the fact that the School Meeting minutes make reference to other meetings for various sub-committees for which no minutes exist, and thus, findings on the degree of student voice may be limited. And because this is a study of one school, generalizability may be difficult. Future research into these sub-committee meetings would prove helpful as well as content analyses of other democratic free schools’ meeting minutes.

This study can help people more deeply understand what goes on in democratic free schools and what student voice and participation can mean within this context.

This study builds on the extant research of the authors on illegal rural enterprise (IRE). However, instead of taking a single or micro case approach within specific sections of the farming and food industries we examine the concept holistically from a macro case perspective. Many IRE crimes simply could not be committed without insider knowledge and complicity, making it essential to appreciate this when researching or investigating such crimes.

Using data from published studies, we introduce the theoretical concept of “Shadow infrastructure” to analyse and explain the prevalence and endurance of such criminal enterprises. Using a multiple case approach, we examine data across the cases to provide an analysis of several industry wide crimes—the illicit halal meat trade; the theft of sheep; the theft of tractors and plant; and the supply of illicit veterinary medicines.

We examine IRE crimes across various sectors to identify commonalities in practice and in relation to business models drawing from a multidisciplinary literature spanning business and criminology. Such enterprises can be are inter-linked. We also provide suggestions on investigating such structures.

We identify academic and practical implications in relation to the investigation of IRE crime and from an academic perspective in relation to researching the phenomenon.

This study combines data from numerous individual studies from a macro perspective to provide practical solutions to a multifaceted problem.

Business rescue, as a mechanism to aid financially distressed companies in South Africa, has received considerable academic and practical recognition. However, the business rescue plan is an overlooked and, perhaps, underdeveloped aspect of the regime. For stakeholders, this is the ultimate decision-making document. Creditors are the most influential stakeholders in business rescue proceedings owing to their voting rights. For creditors to make informed decisions and exercise their votes meaningfully, the business rescue plan should be transparent and adequately disclose relevant and reliable information. This study aims to identify creditors’ primary information needs to enhance the sufficiency and decision-usefulness of business rescue plans, not only to entice the vote of creditors but to enforce accountability from practitioners.

Using a qualitative research design, semi-structured interviews were conducted with 14 executives from 10 South African financial institutions.

The findings reveal that comprehensive disclosure of financial, commercial and legal information in business rescue plans was a critical antecedent for stakeholder decision-making. Additionally, leadership and social impact information were influential determinants. This study advances academic knowledge and, for practitioners, adds value to the development of business rescue plans. This can enhance creditors' confidence in supporting the rescue effort and approving the plan.

This study advances academic knowledge and, for practitioners, adds value to the development of business rescue plans. This can enhance creditors' confidence in supporting the rescue effort and approving the plan.

The originality of this article lies in its investigation of how creditors assess the information in BR plans as a precursor to supporting the company’s reorganisation in a creditor-friendly business rescue system such as South Africa. This study provides novel insights into the decision-making process, particularly how creditors assess BR plans, address information asymmetry and vote on the plan.

This study looked into the factors that could make a difference in teachers’ individual innovativeness and team innovativeness. We investigated five categories of factors: (1) innovation-related teacher preparedness, (2) innovation-related teacher professional development, (3) teacher professional practices, (4) teacher empowerment and (5) innovation-related teacher self-efficacy.

The data source is the 2018 Teaching and Learning International Survey (TALIS) US data. The samples include about 165 schools and 2,560 teachers. We applied the structural equation model to analyze the data and the unit of analysis is set at the individual teacher-level.

We found that all factors matter except professional development and that they matter differently for different innovativeness outcomes.

This study is significant in several aspects: first, it is among the first that examined the factors that could make a difference in teacher innovativeness. Second, we differentiated between individual and team teacher innovativeness. Third, the findings highlight the importance of several factors including teacher preparation, teacher collaboration, teacher participation in school decisions and teacher self-efficacy.

While popular genre fictions like detective novels are often centred around formulaic plots and stereotypical characters, they also undergo several exciting changes when adapted in a diverse array of cultural and linguistic contexts. My chapter examines the first female detective of a Bangla crime writing series, Detective (Goyenda) Krishna as a figure that challenges patriarchal stereotypes related to violent women and dismantles the illusory neatness of binaries associated with ‘good’ and ‘bad’ femininity. The gun-toting, vengeance-seeking literary detective is also examined as mediating shifts and transitions in gendered practices and norms in Bengal – its socio-political as well as literary contexts – as it negotiated ideas of decoloniality from the first decade of the twentieth century and emerged as part of a new, partitioned nation in 1947. She is seen as a creative response to the changes related to gender that had been gradually taking shape in colonised Bengal and as articulating radically re-imagined possibilities and opportunities related to female subjectivities in a newly decolonised nation.

In the mid-2000s, the operator of New York City’s mass transit network committed more than a half-billion dollars to military contractor Lockheed Martin for a security technology capable, in part, of inferring threats based on analysis of data streams, of developing response strategies, and taking automated action toward alerts and calamities in light of evolving circumstances. The project was a failure. This chapter explores the conceptualization and development of this technology – rooted in cybernetics – and compares its conceptual underpinnings with some situated problems of awareness, communication, coordination, and action in emergencies as they unfold in one of the busiest transport systems in the world, the New York subway. The author shows how the technology, with all the theatrical trappings of a “legitimate” security solution, was apparently conceived without a grounded understanding of actual use-cases, and the degree to which the complex interactions which give rise to subway emergency can be anticipated in – and therefore managed through – a technological system. As a case-study, the chapter illustrates the pitfalls of deploying technology against problems which are not well-defined in the first place, to the neglect of investments against much more fundamental problems – such as inadequate communication systems, and unstable relationships with emergency response agencies – which might offer guaranteed benefits, and indeed lay a firm groundwork for future deployment of more ambitious technology.

The purpose of this study is to explore the information needs and behaviors of Chinese first-time mothers from the perspective of information journey theory.

This study uses the popular coding language Python to write a program to extract 366 posts published by first-time mothers in the Babytree community of China's largest maternal and infant platform. Content analysis is used to analyze and encode the collected data.

This study summarizes the information needs of first-time mothers in China specifically, which includes six aspects of health, pregnancy care, postpartum parenting, socialization, self-actualization, and entertainment. Then, based on its hierarchical and stage characteristics, more flexible information needs matrix for Chinese first-time mothers has been developed to reflect their changing 15 types of information needs more fully. Finally, it constructs the information journey model of Chinese first-time mothers including five stages.

This is the first time that information journey theory has been applied to the research on information needs and behaviors of first-time mothers. The authors have also further expanded the information seeking and acquisition phases and found new gaps in the phases to further refine the information journey model. This study can help us better understand the online information needs and behaviors of Chinese first-time mothers and provide support for organizations and online health community managers to develop new information services or improve the quality of existing services.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2021-0538.