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New Zealand and Australian governments rely heavily on voluntary industry initiatives to improve population nutrition, such as voluntary front-of-pack nutrition labelling (Health Star Rating [HSR]), industry-led food advertising standards, and optional food reformulation programmes. Research in both countries has shown that food companies vary considerably in their policies and practices on nutrition(1). We aimed to determine if a tailored nutrition support programme for food companies improved their nutrition policies and practices compared with control companies who were not offered the programme. REFORM was a 24-month, two-country, cluster-randomised controlled trial. 132 major packaged food/drink manufacturers (n=96) and fast-food companies (n=36) were randomly assigned (2:1 ratio) to receive a 12-month tailored support programme or to the control group (no intervention). The intervention group was offered a programme designed and delivered by public health academics comprising regular meetings, tailored company reports, and recommendations and resources to improve product composition (e.g., reducing nutrients of concern through reformulation), nutrition labelling (e.g., adoption of HSR labels), marketing to children (reducing the exposure of children to unhealthy products and brands) and improved nutrition policy and corporate sustainability reporting. The primary outcome was the nutrient profile (measured using HSR) of company food and drink products at 24 months. Secondary outcomes were the nutrient content (energy, sodium, total sugar, and saturated fat) of company products, display of HSR labels on packaged products, company nutrition-related policies and commitments, and engagement with the intervention. Eighty-eight eligible intervention companies (9,235 products at baseline) were invited to participate, of whom 21 accepted and were enrolled in the REFORM programme (delivered between September 2021 and December 2022). Forty-four companies (3,551 products at baseline) were randomised to the control arm. At 24 months, the model-adjusted mean HSR of intervention company products was 2.58 compared to 2.68 for control companies, with no significant difference between groups (mean difference -0.10, 95% CI -0.40 to 0.21, p-value 0.53). A per protocol analysis of intervention companies who enrolled in the programme compared to control companies with no major protocol violation also found no significant difference (2.93 vs 2.64, mean difference 0.29, 95% CI -0.13 to 0.72, p-value 0.18). We found no significant differences between the intervention and control groups in any secondary outcome, except in total sugar (g/100g) where the sugar content of intervention company products was higher than that of control companies (12.32 vs 6.98, mean difference 5.34, 95% CI 1.73 to 8.96, p-value 0.004). The per-protocol analysis for sugar did not show a significant difference (10.47 vs 7.44, mean difference 3.03, 95% CI -0.48 to 6.53, p-value 0.09).In conclusion, a 12-month tailored nutrition support for food companies did not improve the nutrient profile of company products.
Background: Autonomic nervous system (ANS) dysfunction in people with epilepsy (PwE) is a likely contributor to sudden unexpected death in epilepsy (SUDEP). However, the nature of autonomic dysfunction among PwE remains poorly understood. We aimed to delineate self-reported ANS functioning among people with drug-resistant epilepsy, a patient group at increased risk for SUDEP. Methods: People with focal drug-resistant epilepsy undergoing stereoelectroencephalography at the Epilepsy Monitoring Unit in London, Ontario completed the Composite Autonomic Symptom Score (COMPASS-31), a widely used questionnaire for ANS function. Results: The mean total COMPASS-31 score (N=34; 13 females) was 27.36 (SD=13.77). There was no significant correlation between total COMPASS-31 score and current age (mean=32.71 years, SD=10.58; r(32)= -0.04) or age of epilepsy onset (mean=17.31 years, SD=8.26; r(30)=0). Females scored higher than males (t(32)=3.41, p<.05), but scores did not differ between participants with an epileptogenic zone in the temporal lobe(s) (N=20) and participants with multi-focal, extra-temporal or unknown epileptogenic zones (t(32)=0.18). Participants prescribed 2-3 sodium channel blocking anti-seizure medications (cardiotoxic; N=17), scored worse than participants on 0-1 sodium channel blockers (N=17) (t(32)= -2.15, p<.05). Conclusions: Autonomic testing should be a standard component of clinical care for people with drug-resistant epilepsy, especially for females and for those on sodium channel blockers.
Next generation high-power laser facilities are expected to generate hundreds-of-MeV proton beams and operate at multi-Hz repetition rates, presenting opportunities for medical, industrial and scientific applications requiring bright pulses of energetic ions. Characterizing the spectro-spatial profile of these ions at high repetition rates in the harsh radiation environments created by laser–plasma interactions remains challenging but is paramount for further source development. To address this, we present a compact scintillating fiber imaging spectrometer based on the tomographic reconstruction of proton energy deposition in a layered fiber array. Modeling indicates that spatial resolution of approximately 1 mm and energy resolution of less than 10% at proton energies of more than 20 MeV are readily achievable with existing 100 μm diameter fibers. Measurements with a prototype beam-profile monitor using 500 μm fibers demonstrate active readouts with invulnerability to electromagnetic pulses, and less than 100 Gy sensitivity. The performance of the full instrument concept is explored with Monte Carlo simulations, accurately reconstructing a proton beam with a multiple-component spectro-spatial profile.
Affective responses to the menstrual cycle vary widely. Some individuals experience severe symptoms like those with premenstrual dysphoric disorder, while others have minimal changes. The reasons for these differences are unclear, but prior studies suggest stressor exposure may play a role. However, research in at-risk psychiatric samples is lacking.
Methods
In a large clinical sample, we conducted a prospective study of how lifetime stressors relate to degree of affective change across the cycle. 114 outpatients with past-month suicidal ideation (SI) provided daily ratings (n = 6187) of negative affect and SI across 1–3 menstrual cycles. Participants completed the Stress and Adversity Inventory (STRAIN), which measures different stressor exposures (i.e. interpersonal loss, physical danger) throughout the life course, including before and after menarche. Multilevel polynomial growth models tested the relationship between menstrual cycle time and symptoms, moderated by stressor exposure.
Results
Greater lifetime stressor exposure predicted a more pronounced perimenstrual increase in active SI, along with marginally significant similar patterns for negative affect and passive SI. Additionally, pre-menarche stressors significantly increased the cyclicity of active SI compared to post-menarche stressors. Exposure to more interpersonal loss stressors predicted greater perimenstrual symptom change of negative affect, passive SI and active SI. Exploratory item-level analyses showed that lifetime stressors moderated a more severe perimenstrual symptom trajectory for mood swings, anger/irritability, rejection sensitivity, and interpersonal conflict.
Conclusion
These findings suggest that greater lifetime stressor exposure may lead to heightened emotional reactivity to ovarian hormone fluctuations, elevating the risk of psychopathology.
Sperlingite, (H2O)K(Mn2+Fe3+)(Al2Ti)(PO4)4[O(OH)][(H2O)9(OH)]⋅4H2O, is a new monoclinic member of the paulkerrite group, from the Hagendorf-Süd pegmatite, Oberpfalz, Bavaria, Germany. It was found in corrosion pits of altered zwieselite, in association with columbite, hopeite, leucophosphite, mitridatite, scholzite, orange–brown zincoberaunite sprays and tiny green crystals of zincolibethenite. Sperlingite forms colourless prisms with pyramidal terminations, which are predominantly only 5 to 20 μm in size, rarely to 60 μm and frequently are multiply intergrown and are overgrown with smaller crystals. The crystals are flattened on {010} and slightly elongated along [100] with forms {010}, {001} and {111}. Twinning occurs by rotation about c. The calculated density is 2.40 g⋅cm–3. Optically, sperlingite crystals are biaxial (+), α = 1.600(est), β = 1.615(5), γ = 1.635(5) (white light) and 2V (calc.) = 82.7°. The optical orientation is X = b, Y = c and Z = a. Neither dispersion nor pleochroism were observed. The empirical formula from electron microprobe analyses and structure refinement is A1[(H2O)0.96K0.04]Σ1.00A2(K0.52□0.48)Σ1.00M1(Mn2+0.60Mg0.33Zn0.29Fe3+0.77)Σ1.99M2+M3(Al1.05Ti4+1.33Fe3+0.62)Σ3.00(PO4)4X[F0.19(OH)0.94O0.87]Σ2.00[(H2O)9.23(OH)0.77]Σ10.00⋅3.96H2O. Sperlingite has monoclinic symmetry with space group P21/c and unit-cell parameters a = 10.428(2) Å, b = 20.281(4) Å, c = 12.223(2) Å, β = 90.10(3)°, V = 2585.0(8) Å3 and Z = 4. The crystal structure was refined using synchrotron single-crystal data to wRobs = 0.058 for 5608 reflections with I > 3σ(I). Sperlingite is the first paulkerrite-group mineral to have co-dominant divalent and trivalent cations at the M1 sites; All other reported members have Mn2+ or Mg dominant at M1. Local charge balance for Fe3+ at M1 is achieved by H2O → OH– at H2O coordinated to M1.
The eight well-known food security indicators were developed in 1997 using a stepwise process that involved five focus group interviews (one Māori, one Pakeha, two Pacific, and one mixed ethnicity) of 8-16 people, all of whom were either on a low income or were government beneficiaries(1). As part of the development of the tools and methods for a future New Zealand National Nutrition Survey, these eight indicators were considered for inclusion. The Māori and Technical Advisory Groups convened for the development of the National Nutrition Survey foresaw issues with the interpretation of some of the questions given the changes in the food environment and sources of food assistance in the last 25 years and recommended that cognitive testing should be conducted to see if changes were required. Participants were recruited through two community organisations, a local marae, and community Facebook pages. Participants were given the option of participating in a one-on-one interview or as part of a focus group. During each session, participants were asked five (three original and two new) questions relating to food security (running out of basics, use of food assistance, household food preparation and storage resources). After each question, the participants were asked a series of additional probing questions to ascertain whether they had interpreted the question as intended. All interviews were audio recorded and transcribed, and a qualitative analysis was performed on the transcripts to determine areas of concern with each question. A total of 46 participants completed the cognitive testing of the food security questions, including 26 aged 18-64 years, and 20 aged 65+ years. Participants also spanned a range of ethnicities including 8 Māori, 15 Pasifika, 15 Asian, and 8 New Zealand European or Other. Just over half of the participants (n=24) reported themselves to be financially secure, 16 participants reported that their financial security was borderline, 1 participant reported that they were not at all financially secure, and 5 participants declined to answer. Variable interpretations of terms by participants were found in all questions that were tested. Therefore, answers to the food security questions may have not reflected the actual experience of participants. This study also identified other dimensions of food security not assessed by the current eight indicators (e.g., lack of time, poor accessibility). These findings indicate that the food security questions need to be improved to ensure they are interpreted as intended and that new questions are needed that considers all dimensions of food insecurity (i.e., access, availability, utilisation, and stability). These new and amended questions should be cognitively tested in groups that are more likely to be experiencing food insecurity.
National nutrition surveys play a pivotal role in shaping public health policies and programmes by providing valuable insights into dietary intake and the nutritional wellbeing of a population. A team from the University of Auckland and Massey University worked alongside the Ministry of Health and the Ministry for Primary Industries to develop the methods and tools for a future New Zealand Nutrition Survey. Throughout these developmental stages, we partnered and engaged with Māori as tangata whenua, and other key ethnic groups in Aotearoa - New Zealand, ensuring that their unique dietary practices and preferences were accurately captured. This presentation centres on the adaptation of Intake24, an innovative web-based 24-hour dietary recall tool, to optimize dietary data collection within the New Zealand context. The adaptation process involved several key steps including rationalisation of a New Zealand-specific food list, incorporating cultural dishes, adding new portion size estimation aids, and further customisation of the user interface(1). We provide new insights into the user experience and the tool’s functionality, sharing findings from field testing and valuable user feedback. This approach ensures collection of dietary data that is truly representative of the New Zealand population and acknowledges the rich diversity and dietary nuances within the country. As such, this adapted New Zealand version of Intake24 could serve as an essential tool for use in a future National Nutrition Survey or other research initiatives to collect accurate, culturally sensitive, and actionable nutrition data providing evidence to inform future public health programmes and policies.
Spanning the economics of the fine arts, performing arts, and public policy, this updated classic is the go-to resource for navigating today's creative industries. Building on real-world data, engaging case studies, and cutting-edge research, it prepares students for careers in the cultural, creative, and public sectors. By avoiding mathematical treatments and explaining theories with examples, this book develops theoretical concepts from scratch, making it accessible to readers with no background in economics. While most of the theory remains timeless, this new edition covers changes in the world's economic landscapes. Updates include new sections on gender representation, cultural districts and tourism, digital broadcasting and streaming, how technology impacts the arts, and arts management and strategy. The authors demonstrate data-driven decision-making using examples and cases from various databases. Students learn to assess academic results and apply the learned material using the discussion questions and problem sets.
Chapter 5 illustrates how demand responds to changes in the forces on which it depends. Using the theory of consumer behavior, we start out by explaining the concepts of price, income, and cross-price elasticity of demand, as well as how to derive these elasticities. We will also cover empirical evidence on the actual value of the price and income elasticities of demand for the live performing arts in several countries over several different time periods.
This chapter provides insights into how the arts labor market works. We seek to understand what motivates artists to pursue their chosen professions and discuss whether the concept of the “starving artist” is valid. Using an artist survey, we explore the stated opinions of an artist to describe who can be classified as a professional artist. We shed light on the labor market of artists by investigating the role of unions, the “superstar” phenomenon, and the decision problem of an artist using the human capital model. Finally, we discuss gender representation in the labor market as well as the gig labor market.
This chapter lies the microeconomic foundation to understand consumer demand in the cultural sector. We start out by outlining the assumptions that underlie the economic analysis of consumer choice, followed by a breakdown of how to measure the utility of the consumer, as well as how the consumer maximizes utility. We also show how to derive demand and supply curves which are essential to analyze the market powers at play in the cultural sector. Finally, we will show how to use the market demand and supply curves to determine the market price.
In this chapter, we examine and analyze private support for the arts, mostly in the form of household, corporate, foundation, and other donations. In addition to this, we also explore the role of “indirect” government support in the form of tax forgiveness for private donors. We compare arts support across countries and explain the vastly different levels of private support. Additionally, we discuss the concept of nonmonetary private donations, often in the form of works of art. Finally, we outline the advantages and disadvantages of private and/or public support.
In this chapter, we investigate the economic choices – especially the price-output choices – made by performing arts firms. We cover the factors that help in determining the optimal price–output combination for performing arts firms. Furthermore, we discuss a multitude of market types and how these market types influence the behavior of performing arts firms. We also present the objectives of the performing arts firms, which depend on whether they are in the commercial or the not-for-profit sector of the economy. Ultimately, we end up with a model for the performing arts firm that is able to predict both ticket prices and length of season.
Who engages with art? This chapter outlines methods for art companies to gain a better understanding of the socioeconomic background of their audience. We also present a cross-country comparison on participation rates in the arts to illustrate the patterns of cultural consumption around the world. To get a better understanding of the audience characteristics, this chapter also summarizes the findings of several participation studies on the socioeconomic characteristics of art attenders across countries and over time.
This chapter presents the importance of productivity in the growth of the cultural sector. We describe the concept of productivity lag, as explained by Baumol and Bowen, followed by a more formal algebraic analysis of the effects of productivity lag. In addition to a theoretical approach, we provide historical evidence on the productivity lag and its consequences. We also turn to a discussion of the forces that countervail productivity lag. Finally, we outline evidence that growth of the earnings gap has been forestalled by artistic innovation and an increasing artistic deficit.