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Abstract Polycystic ovary syndrome (PCOS) is one of the most common reproductive endocrine disorders in women and despite this, diagnostic challenges, delayed diagnosis, and less-than-optimal treatment regimens plague the condition. The International PCOS network, consisting of geographically diverse international experts in PCOS as well as consumers, engaged in a multi-year international evidence-based guideline development process that was jointly sponsored by the European Society for Human Reproduction and Embryology (ESHRE) and the American Society of Reproductive Medicine (ASRM). The guideline was published in 2018 and endorsed by more than 40 international societies involved in PCOS. Translation of this evidence-based guideline to medical practice and consumer groups remains a priority. However, there remain many challenges to both understanding the diagnosis and treatment of PCOS. Evidence suggests that both clinicians and consumers are not satisfied with the timeliness of diagnosis and treatment options. This review summarizes the important findings for diagnosis and treatment from the guidelines and expands on recent developments in the literature since its publication. Special attention to diagnosis at the ends of the reproductive spectrum are discussed and remaining areas of controversy are noted. Additionally, the review highlights some of the remaining challenges in the understanding and management of PCOS to help guide clinicians and investigators in this perplexing condition.

Zipf-like distributions characterize a wide set of phenomena in physics, biology, economics, and social sciences. In human activities, Zipf's law describes, for example, the frequency of appearance of words in a text or the purchase types in shopping patterns. In the latter, the uneven distribution of transaction types is bound with the temporal sequences of purchases of individual choices. In this work, we define a framework using a text compression technique on the sequences of credit card purchases to detect ubiquitous patterns of collective behavior. Clustering the consumers by their similarity in purchase sequences, we detect five consumer groups. Remarkably, post checking, individuals in each group are also similar in their age, total expenditure, gender, and the diversity of their social and mobility networks extracted from their mobile phone records. By properly deconstructing transaction data with Zipf-like distributions, this method uncovers sets of significant sequences that reveal insights on collective human behavior. Digital traces of our lives have the potential to allow insights into collective behaviors. Here, the authors cluster consumers by their credit card purchase sequences and discover five distinct groups, within which individuals also share similar mobility and demographic attributes.

This study explores the potential of cross-publisher bundled offers as a strategy for increasing subscription sales in digital journalism. While innovative forms of bundling are an integral part of media distribution in music (e.g., Spotify) and film (e.g., Netflix), their adoption in digital journalism has been limited, despite research showing that bundled access to products can increase consumers' willingness to pay, especially in younger target groups. Against this background, we conduct a choice-based conjoint analysis using data from a representative survey of the German online population (n = 1,542). Results show that bundling digital journalism has the potential to raise publisher revenues and subscription sales in digital markets. In particular, they highlight that a comprehensive, cross-publisher bundled offer, available at a fixed monthly rate, has the potential to stimulate digital journalism sales among different consumer groups in a relatively balanced way, including those who are typically more reluctant towards journalism. These findings align with the principles of information goods economics, which posit that maximising the size of digital content bundles often tends to be the most profitable distribution strategy. However, it is crucial to examine these findings in the context of the potential negative effects associated with this emerging business model in digital journalism, such as the cannibalisation of print subscriptions, diminished brand identification, and a possible imbalanced distribution of revenues.

This study evaluated the dissipation kinetics and dietary risk of etofenprox in kale (Brassica oleracea) and red mustard greens (Brassica juncea), leafy vegetables frequently reported to exceed residue limits in Korea. Field trials were conducted at three sites, and residues were analyzed using QuEChERS extraction followed by LC–MS/MS in accordance with MFDS and SANTE guidelines. The method validation parameters—specificity, linearity, limit of quantitation, accuracy, and precision—were within the acceptable criteria specified by the guidelines. The half-lives of etofenprox under greenhouse conditions were 2.2 days in kale and 3.1 days in red mustard greens, with dissipation rate constants of 0.3118 and 0.2232, respectively. Dietary risk assessment based on residue levels and consumption data confirmed that the %ADI values at the pre-harvest interval (PHI, 7 days) for were <1% the average consumer group and <4% for the high-intake group. Accordingly, the residue levels were considered safe, indicating that compliance with recommended application practices poses negligible health risk to consumers.

Consumers and producers are becoming more open to the usage of natural cosmetics. This can be seen in them using a variety of natural cosmetic resources and materials. This fact is further supported by the trend of environmental and health awareness. These phenomena can be found within both the producers’ and the consumers’ behavior. Our research supports that green or natural products’ role in the cosmetics industry is getting more and more pronounced. The role of science is to determine the variables suggesting the consumer to change to natural cosmetics. The primary aim of our research is to find out to what extent the characteristics of the consumption of organic foods and natural cosmetics differ. We would like to know what factors influence consumer groups when buying green products. The novelty of the analyses is mainly that consumers were ordered into clusters, based on consuming bio-foodstuffs and preferring natural cosmetics. The cluster analysis has multiple variables, namely: Consumer behavior in light of bio-product, new natural cosmetics brand, or health- and environmental awareness preferences. The data was collected using online questionnaire, exclusively in Hungary during April–May of 2018. 197 participants answered our questions. The results of descriptive statistics and the cluster analysis show that there are consumers who prefer natural cosmetics, whereas some of them buy traditional ones. A third group use both natural and ordinary cosmetics. The results suggest that on the market of cosmetic products, health and environmental awareness will be a significant trend for both producer and consumer behavior, even in the future. However, it will not necessarily follow the trends of the foodstuffs industry, as the health effect spectrum of cosmetics is far shorter. In the future, the palette of natural cosmetics will become much wider. The main reason for this will be the appearance of green cosmetics materials and environmentally friendly production methods (mostly for packaging). The consumers will also have the possibility to choose the ones that suit them the most.

1. The successional dynamics of forests—from canopy openings to regeneration, maturation, and decay—influence the amount and heterogeneity of resources available for forest-dwelling organisms. Conservation has largely focused only on selected stages of forest succession (e.g., late-seral stages). However, to develop comprehensive conservation strategies and to understand the impact of forest management on biodiversity, a quantitative understanding of how different trophic groups vary over the course of succession is needed. 2. We classified mixed mountain forests in Central Europe into nine successional stages using airborne LiDAR. We analysed α- and β-diversity of six trophic groups encompassing approximately 3,000 species from three kingdoms. We quantified the effect of successional stage on the number of species with and without controlling for species abundances and tested whether the data fit the more-individuals hypothesis or the habitat heterogeneity hypothesis. Furthermore, we analysed the similarity of assemblages along successional development. 3. The abundance of producers, first-order consumers, and saprotrophic species showed a U-shaped response to forest succession. The number of species of producer and consumer groups generally followed this U-shaped pattern. In contrast to our expectation, the number of saprotrophic species did not change along succession. When we controlled for the effect of abundance, the number of producer and saproxylic beetle species increased linearly with forest succession, whereas the U-shaped response of the number of consumer species persisted. The analysis of assemblages indicated a large contribution of succession-mediated β-diversity to regional γ-diversity. 4. Synthesis and applications. Depending on the species group, our data supported both the more-individuals hypothesis and the habitat heterogeneity hypothesis. Our results highlight the strong influence of forest succession on biodiversity and underline the importance of controlling for successional dynamics when assessing successional stages with highest diversity (early and late successional stages) are currently strongly underrepresented in the forests of Central Europe. We thus recommend that conservation strategies aim at a more balanced representation of all successional stages.

In addition to the intrinsic value of the product, social, cultural and psychological factors also have a major influence on the consumer’s purchasing decision. They are also influenced by trends and tendencies such as globalisation, digitalisation and various economic and social crises. In our study, we focused on the analysis of food purchasing preferences; including the reasons for the rise of ethnocentrism in the purchase of domestic products and the potential of this phenomenon in light of relevant secondary data and quantitative primary results. The main objective of the study’s primary research is to demonstrate that consumer groups, distinguishable by food consumption preferences, have differentiated perceptions of domestic food (price, quality, reliability). This provides evidence that food consumer preferences are reflected in decisions about domestic food. Due to the Hungarian relevance of the topic, the presentation of related international research and literature was given a prominent role. The focus of our research was to investigate the food purchasing preferences of Hungarian food consumers. Based on the results, we were able to characterise distinct consumer segments based on food purchasing preferences, and we were able to identify potential target groups of domestic food based on food consumer preferences: the ‘conscious food buyers’, the ‘impulse buyers’ and the ‘no preference’. In our view, members belonging to the first two segments can be successfully persuaded to buy Hungarian food through an educational campaign based on sufficiently fashionable and trendy motifs with the help of the right reference person.

Food products are often subject to information asymmetries, which are commonly supposed to be reduced by labels and certifications. However, as the number of labels increases, consumers tend to get confused, bored or impatient and stop using them to make product choices. This study uses data from a discrete choice experiment, conducted in Germany, to analyze consumers’ preferences and willingness-to-pay (WTP) for sustainability indicators on products that contain palm oil as an ingredient. Since information is crucial to the assessment and awareness of, or attendance to, labels on consumer products, this study assesses the effect of factual information on preferences as well as attribute-processing strategies. We use a hybrid latent variable model that allows us to jointly examine the response to the stated choice component and the responses to attribute processing questions, thus capturing attribute non-attendance (ANA) to specific labels while controlling for heterogenous preferences. Our results reveal that the attribute ‘organic’ receives the highest monetary valuation in the overall sample as well as in the information intervention, and the no-information intervention groups. The results also show that providing additional information tends to change consumers’ non-attendance patterns as well as WTP values. In particular, the information intervention tends to increase consumers’ WTP and decreases their ANA for sustainability-indicating attributes. The findings suggest that the attribute ‘organic’ has the potential to be ranked highest across the entire latent variable structure, making it the most promising attribute for promoting sustainable palm oil use across consumer groups.

BackgroundIntense marketing strategies used in retail settings in the United Kingdom promote the purchase and consumption of less-healthy foods that are associated with ill-health. To help address this issue, the Food (Promotion and Placement) regulations were introduced in England from October 2022, banning the placement of foods high in fat, sugar or salt (HFSS) at check-outs, aisle-ends, and entrances in qualifying retail outlets. Ahead of their introduction, we examined health experts’ perspectives on the likely efficacy of the regulations and identified strategies to enhance their impact.MethodsThis cross-sectional qualitative study used semi-structured interviews and focus groups (MS Teams, October 2021–March 2022) to collect data from health experts. Three researchers inductively coded and analysed the data, with input from senior colleagues, using Braun and Clarke’s reflexive thematic analysis.ResultsParticipants (n=28) included public health and food policy academics (n=9) and experts (n=19) from Civil Society Organisations. The regulations were perceived as a major policy innovation, acknowledging businesses’ role in driving poor dietary choices but concerns were raised about the use of outdated nutrition profiling model, limited scope of the restrictions, and inadequate enforcement. Participants were apprehensive about the potential for disproportionate impacts on smaller businesses and certain consumer groups. To enhance the impact of regulations, they recommended funding independent and diverse evaluations, mandating business sales data reporting, and strengthening enforcement efforts at both local and national levels. To improve the regulations’ effectiveness, they also suggested establishing mechanisms to refine regulatory guidance, and introducing complementary policies within the food system.DiscussionCurrent regulations may worsen inequalities among vulnerable populations relying on exempt smaller stores while facing associated health risks. Our findings emphasise the need for a comprehensive strategy to support healthier retailing in smaller stores. To maximise health benefits, the updated 2018 NPM should be adopted, and regulations expanded to all HFSS foods. Sustained funding is crucial for long-term monitoring and a systems-based evaluation of the regulations. Conducted amid UK obesity policy reforms, this study provides key evidence on regulatory effectiveness and areas for refinement as new data emerges.The regulations represent a significant effort to curb the promotion of unhealthy foods in retail environments but will be insufficient on their own to improve population diet. The regulations must be part of a comprehensive set of policies across various sectors, including manufacturing, and retail, to accelerate food system transformation to address the key drivers of diet-related ill-health.