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Background It is not currently clear what impact alternative nicotine-delivery products (electronic cigarettes, heated tobacco products and snus) have on smoking rates and cigarette sales. Objective To assess whether access to these products promotes smoking in the population. Design and data sources We examined associations of alternative nicotine product use and sales with smoking rates and cigarette sales overall, and in different age and socioeconomic groups, and compared smoking prevalence over time in countries with contrasting regulations of these products. For electronic cigarettes, we examined data from countries with historically similar smoking trajectories but differing current electronic cigarette regulations (United Kingdom and United States of America vs. Australia, where sales of nicotine-containing electronic cigarettes are banned); for heated tobacco, we used data from countries with state tobacco monopolies, where cigarette and heated tobacco sales data are available (Japan, South Korea), and for snus we used data from Sweden. Analysis methods We pre-specified dynamic time series analyses to explore associations between use and sales of alternative nicotine-delivery products and smoking prevalence and cigarette sales, and time series analyses to compare trends of smoking prevalence in countries with different nicotine product policies. Results Because of data and analysis limitations (see below), results are only tentative and need to be interpreted with caution. Only a few findings reached statistical significance and for most results the Bayes factor indicated inconclusive evidence. We did not find an association between rates of smoking and rates of the use of alternative nicotine products. The increase in heated tobacco product sales in Japan was accompanied by a decrease in cigarette sales. The decline in smoking prevalence seems to have been slower in Australia than in the United Kingdom overall, and slower than in both the United Kingdom and the United States of America among young people and also in lower socioeconomic groups. The decline in cigarette sales has also accelerated faster in the United Kingdom than in Australia. Limitations Most of the available data had insufficient data points for robust time series analyses. The assumption of our statistical approach that causal interactions are more likely to be detected when longer-term changes are screened out may not apply for short time series and in product interaction scenarios, where short-term fluctuations can be caused by, for example, fluctuations in prosperity or product supplies. In addition, due to dual use, prevalence figures for smoking and alternative product use overlap. The ecological study design limits the causal inferences that can be made. Longer time periods are needed for any effects of exclusive use of the new products on smoking prevalence to emerge. Conclusions We detected some indications that alternative nicotine products are competing with cigarettes rather than promoting smoking and that regulations that allow their sales are associated with a reduction rather than an increase of smoking, but the findings are inconclusive because of insufficient data points and issues with the assumptions of the pre-specified statistical analyses. Future work As further prevalence and sales data emerge the analyses will become more informative. Accessing sales figures in particular is the current research priority. Study registration The project is registered on Open Science Framework https://osf.io/bd3ah. Funding This project was funded by the National Institute for Health and Care Research (NIHR) Public Health Research programme (NIHR129968) and will be published in full in Public Health Research; Vol. 11, No. 7. See the NIHR Journals Library website for further project information. Plain language summary Alternative nicotine-delivery products are now available which are much less hazardous than cigarettes. These include electronic cigarettes (which contain no tobacco), Swedish snus (oral tobacco with low levels of cancer-causing chemicals) and heated tobacco products. There is concern that these products attract young people to smoking and discourage smokers from quitting (i.e. increase smoking), but it is also possible that they help smokers quit and steer young people who find nicotine attractive away from smoking, or that they have no effect on smoking. To clarify which of these end results is likely, we looked at data on smoking and on the use of these alternative products over time, and also compared data on smoking from countries that have similar tobacco control history, but that either allow (i.e. United Kingdom and United States of America) or ban the sale of electronic cigarettes (i.e. Australia). As the sale of heated tobacco products increased in Japan, sales of cigarettes seem to have gone down, suggesting that this product is competing with cigarettes rather than encouraging their use. We also found that the drop in smoking may have been slower in Australia than in the United Kingdom. For young people and those on low income specifically, the reduction in smoking was slower in Australia than in both the United Kingdom and United States of America. Allowing alternative nicotine products to be sold seems to have been linked with lowered rather than increased rates of smoking. Our findings, however, are uncertain because only limited data were available. Clearer conclusions will become possible as more data on the use and especially on the sales of alternative nicotine products are collected. Scientific summary Background The key controversy surrounding reduced-risk alternative nicotine-delivery products (ANDs), comprising electronic cigarettes (ECs), snus and heated tobacco products (HTPs), concerns their effects on smoking prevalence. They may promote smoking by enticing adolescents to cigarette use and by reducing quitting in smokers (e.g. by allowing them to circumvent smoke-free regulation), but it is also possible that ANDs redirect young nicotine seekers away from smoking and help smokers quit, or they may have no clear impact on smoking. Alternative nicotine-delivery systems have been used for a number of years, and some information may already exist in data on smoking prevalence and on AND and cigarette sales that can contribute to answering this question. If, in countries with substantial AND use, the trends in the historical decline in smoking rates and cigarette sales have slowed down or reversed, and this is not happening in countries that restrict or ban ANDs, this would be consistent with the ‘gateway into smoking’ hypothesis, while the opposite finding would suggest that these products are replacing rather than promoting smoking. A finding that ANDs have no net effect on smoking prevalence and cigarette sales, or that currently available data do not provide a clear answer, would also have implications both for policies (which will need to take account of the uncertainty) and for future research (which can aim to fill the gaps). Objectives We aimed to answer the following research questions (RQs): Is there an association between the prevalence of smoking and prevalence of AND use (in the population in general, in young adults and in different socioeconomic groups), in different countries and for different AND products? Is there an association between sales of different AND products and cigarette sales? Are there any differences in time trends of smoking prevalence (overall, in young adults and in different socioeconomic groups) and cigarette sales following the introduction of ANDs between countries that had similar tobacco control measures prior to ANDs emerging locally, but that have allowed EC sales [United Kingdom (UK) and United States of America (USA)] or banned them (Australia)? Methods We examined data from the countries and data sets described below that allow examinations of links between AND use and smoking rates, and between cigarette and AND sales. We also compared trajectories of smoking prevalence over time in countries with contrasting legislative and policy frameworks concerning ANDs. Countries selected Regarding prevalence data (RQ1), we explored links between the prevalence of EC use and cigarette smoking in the UK and USA (where data on EC use and cigarette use are available), Sweden (the only EU country where snus use is allowed and where data on snus and cigarette use are available) and Japan (where in addition to smoking prevalence data, at least some data on HTP use are available). We also looked at links between prevalence of smoking and sales of ANDs in Japan and South Korea, where data on HTP sales were available. Regarding sales data (RQ2), we explored links between sales of cigarettes and snus in Sweden, and between sales of cigarettes and sales of HTPs in Japan and South Korea. No comprehensive data on EC sales are available for the UK and USA, because ECs are produced by a large number of manufacturers, but we looked at ‘hybrid’ links between the prevalence of EC use and sales of cigarettes in the UK and USA. We also explored whether time trends in cigarette use and sales in the UK and USA, where ECs are allowed, differ from those in Australia, where sales of nicotine-containing ECs are banned (RQ3). The three countries have a broadly similar history and formats of tobacco control otherwise. Data sources Where more than one survey was available per country, we selected the survey to use based on: quality of smoking and AND use measures years covered representativeness of samples and weighting number of time points (monthly/quarterly breakdown) sample size quality of socioeconomic status (SES) information. For the UK, we used the Health Survey for England (HSE) for prevalence and HM Revenue and Customs National Statistics Tobacco Bulletin for cigarette sales data. For the USA, we used the National Health Interview Survey (NHIS) and the National Youth Tobacco Survey (NYTS) for prevalence of smoking. NielsenIQ data on cigarette sales were purchased from Chicago Booth. For Australia, we used the National Drug Strategy Household Survey (NDSHS) for prevalence of smoking and Euromonitor International reports for cigarette sales data. For Japan, we used the National Health and Nutrition Survey for prevalence, Tobacco Institute of Japan data for cigarettes sales and Philip Morris International reports for HTP sales data. For South Korea, we used the Korea National Health and Nutrition Examination Survey (KHANES) for prevalence, and Korea Tobacco and Ginseng Corporation (KT&G) reports for sales data. For Sweden, we used the Swedish Council for Information on Alcohol and Other Drugs (CAN): Monitor Studies for prevalence and Swedish Match AB provided data for cigarette and snus sales directly by e-mail. See Chapter 2 – Methods, Survey data chosen for details of where these surveys were available. For analyses looking at the interplay between cigarettes and EC/HTP use (RQ1), we included data on smoking from 2005 until the most recent available year up to 2019, before the COVID-19 epidemic started. The same timeframe was used, where available, for analyses exploring the interplay of cigarettes and EC/HTP sales (RQ2). This allowed for modelling of smoking and cigarette sales for at least 5 years prior to the emergence of these newer products. For snus, we analysed the data from 2007 to 2019. For analyses looking at trends in cigarette smoking in the UK, USA and Australia we used data from 2004 onwards as the NDSHS is triennial and we wanted to include 2004 as a proxy for 2005. Similarly, for the NYTS, which used to be biannual, we included 2004 as a proxy for 2005. For analyses looking at trends in cigarette sales for the UK, USA and Australia we looked at data from 2010 as sales data for Australia were only available from that year. Statistical methods We pre-specified in our statistical analysis plan that we would use dynamic time series applying generalised least squares (GLS) models to explore the association between prevalence of smoking and product use, as well as cigarette and product sales. Regression models were used to compare trends in smoking prevalence between countries where EC use is allowed or banned. The analyses were adjusted for two policy variables which are believed to have the strongest effect on smoking prevalence and cigarette sales and that have been implemented at different time points in most countries: the introduction of bans on smoking in public spaces where they occurred during the study period; and increases in cigarette prices exceeding normal trends (25% increase in 2010 in Australia, 37% in October 2010 in Japan, 80% increase in 2015 in South Korea, 14% increase in 2009 in the USA and 11% increase in 2015 in the UK). Each policy was modelled as a step level change, coded as one after the introduction of the policy and zero before. Unfortunately, the available data had insufficient data points for robust time series analyses. We carried out the planned analyses to adhere to the original plan, but the results need to be considered as only tentative and interpreted cautiously. Due to the short time series, it is possible that underlying trends were not correctly identified and removed, resulting in confounding. For example, in the majority of analyses, trends were identified as linear and first-order differencing was used. However, studies suggest that the decline in smoking prevalence follows a more monotonic curvilinear decline over time, which was not identified in the short series and would have required higher differencing. Conversely, with short-term non-granular time series, there is a risk of removing trends which in fact reflect short-term changes and perhaps a casual association between series. In addition, because of the short series, more sophisticated time series models, such as autoregressive integrated moving average with explanatory variable (ARIMAX), could not be used for the majority of analyses because these require more time-points. ARIMAX models have several benefits over GLS, including the use of transfer functions to model lags between multiple time series and inclusion of seasonal autocorrelation. Finally, short time series are highly influenced by outliers, and these can dominate the output from models. Longer time series are not influenced in the same way. These factors can all result in spurious associations. We used Bayes factors (BF) to help us to determine whether non-significant results provided evidence of no effect or were due to data being insensitive, with BF between 1/3 and 1 suggesting no or weak evidence for the null hypothesis, BF between 1/3 and 1/10 suggesting moderate evidence, and 1/10 or lower as strong evidence for the null hypothesis. Results Only a few associations were detected. Regarding RQ1, we did not find an association between rates of smoking and rates of alternative nicotine product use, potentially due to the analyses being under-powered. Regarding RQ2, the increase in sales of HTPs in Japan was accompanied by a decrease in sales of cigarettes (b = −1.09, p

Background Some pregnant smokers try e-cigarettes, but effectiveness and safety of such use are unknown. Objectives To compare effectiveness and safety of nicotine patches and e-cigarettes in pregnancy. Design A pragmatic multi-centre randomised controlled trial. Setting Twenty-three hospitals across England, and a Stop Smoking Service in Scotland. Participants One thousand one hundred and forty pregnant daily smokers (12–24 weeks’ gestation) motivated to stop smoking, with no strong preference for using nicotine patches or e-cigarettes. Interventions Participants in the e-cigarette arm were posted a refillable e-cigarette device with two 10 ml bottles of tobacco-flavoured e-liquid (18 mg nicotine). Participants in the nicotine patches arm were posted a 2-week supply of 15 mg/16-hour nicotine patches. Supplies were provided for up to 8 weeks. Participants sourced further supplies themselves as needed. Participants in both arms received support calls prior to their target quit date, on the quit date, and weekly for the next 4 weeks. Outcome measures The primary outcome was validated prolonged abstinence at the end of pregnancy. Participants lost to follow-up or not providing biochemical validation were included as non-abstainers. Secondary outcomes included self-reported abstinence at different time points, treatment adherence and safety outcomes. Results Only 55% of self-reported abstainers mailed back useable saliva samples. Due to this, validated sustained abstinence rates were low (6.8% vs. 4.4% in the e-cigarettes and nicotine patches arms, respectively, risk ratio = 1.55, 95% confidence interval 0.95 to 2.53; Bayes factor = 2.7). In a pre-specified sensitivity analysis that excluded abstainers using non-allocated products, the difference became significant (6.8% vs. 3.6%, risk ratio = 1.93, 95% confidence interval 1.14 to 3.26; Bayes factor = 10). Almost a third of the sample did not set a target quit date and the uptake of support calls was low, as was the initial product use. At end of pregnancy, 33.8% versus 5.6% of participants were using their allocated product in the e-cigarettes versus nicotine patches arm (risk ratio = 6.01, 95% confidence interval 4.21 to 8.58). Regular use of e-cigarettes in the nicotine patches arm was more common than use of nicotine replacement products in the e-cigarette arm (17.8% vs. 2.8%). Rates of adverse events and adverse birth outcomes were similar in the two study arms, apart from participants in the e-cigarette arm having fewer infants with low birthweight (

This article discusses issues related to the assessment of the investment attractiveness and competitiveness of a company, in particular, on the example of a soft drinks sector company. The dependence of investment attractiveness and competitiveness on the size and composition of value added was established and confirmed, and the sequence of methods for analyzing value added was clarified and indicators reflecting the current state and position of the company in the market were specified. We calculate Economic Value Added and its components using pyramidal metrics system INFA which was also developed for Czech companies. The objective is to see through its decomposition the weaker or stronger spots of the company in the analyzed period. The objective is to confirm that only financially healthy companies, producing EVA, can be competitive in the long run. We show the Czech INFA metrics system can serve as a very useful indicator for competitiveness analysis of this Kazakhstan company.

Measuring competitiveness in central Asian post-socialist countries is problematic as many well-known metrics systems fail to warn about bankruptcy risks sufficiently early or at all. This article aims to present options for analyzing bankruptcy and creditworthiness models developed and used frequently in the Czech Republic. Bankruptcy likelihood is frequently measured by two famous models, the Alt-man z-score model, and Taffler z-score model. But there are other models which can be considered as more useful for companies in Kazakhstan such as IN99, IN01, IN05, and a creditworthiness model. The IN models were developed in an environment of Czech economy developing from socialistic to market oriented during the 1990s. During this period the IN models were developed so they are newer than the other two more famous models mentioned. Since the Czech Republic uses IFRS accounting standard which is also frequently used in Kazakhstan that is another reason why the IN models should be considered for wider use by companies in Kazakhstan.

When very dry soil is rewet, rapid stimulation of microbial activity has important implications for ecosystem biogeochemistry, yet associated changes in microbial transcription are poorly known. Here, we present metatranscriptomes of California annual grassland soil microbial communities, collected over 1 week from soils rewet after a summer drought-providing a time series of short-term transcriptional response during rewetting.

Multivariate techniques better fit the anatomy of complex neuropsychiatric disorders which are characterized not by alterations in a single region, but rather by variations across distributed brain networks. Here, we used principal component analysis (PCA) to identify patterns of covariance across brain regions and relate them to clinical and demographic variables in a large generalizable dataset of individuals with bipolar disorders and controls. We then compared performance of PCA and clustering on identical sample to identify which methodology was better in capturing links between brain and clinical measures. Using data from the ENIGMA-BD working group, we investigated T1-weighted structural MRI data from 2436 participants with BD and healthy controls, and applied PCA to cortical thickness and surface area measures. We then studied the association of principal components with clinical and demographic variables using mixed regression models. We compared the PCA model with our prior clustering analyses of the same data and also tested it in a replication sample of 327 participants with BD or schizophrenia and healthy controls. The first principal component, which indexed a greater cortical thickness across all 68 cortical regions, was negatively associated with BD, BMI, antipsychotic medications, and age and was positively associated with Li treatment. PCA demonstrated superior goodness of fit to clustering when predicting diagnosis and BMI. Moreover, applying the PCA model to the replication sample yielded significant differences in cortical thickness between healthy controls and individuals with BD or schizophrenia. Cortical thickness in the same widespread regional network as determined by PCA was negatively associated with different clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. PCA outperformed clustering and provided an easy-to-use and interpret method to study multivariate associations between brain structure and system-level variables. PRACTITIONER POINTS: In this study of 2770 Individuals, we confirmed that cortical thickness in widespread regional networks as determined by principal component analysis (PCA) was negatively associated with relevant clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. Significant associations of many different system-level variables with the same brain network suggest a lack of one-to-one mapping of individual clinical and demographic factors to specific patterns of brain changes. PCA outperformed clustering analysis in the same data set when predicting group or BMI, providing a superior method for studying multivariate associations between brain structure and system-level variables.

Despite over a century of observations, the obligate insect parasites within the order Entomophthorales remain poorly characterized at the genetic level. This is in part due to their large genome sizes and difficulty in obtaining sequenceable material. In this manuscript, we leveraged a recently-isolated, laboratory-tractable Entomophthora muscae isolate and improved long-read sequencing to obtain a largely-complete entomophthoralean genome. Our E. muscae assembly is 1.03 Gb, consists of 7,810 contigs and contains 81.3% complete fungal BUSCOs. Using a comparative approach with other available (transcriptomic and genomic) datasets from entomophthoralean fungi, we provide new insight into the biology of these understudied pathogens. We offer a head-to-head comparison of morphological and molecular data for species within the E. muscae species complex. Our findings suggest that substantial taxonomic revision is needed to define species within this group and we provide recommendations for differentiating strains and species in the context of the existing body of E. muscae scientific literature. We show that giant genomes are the norm within Entomophthoraceae owing to extensive, but not recent, Ty3 retrotransposon activity, despite the presence of machinery to defend against transposable elements(RNAi). In addition, we find that E. muscae and its closest allies are enriched for M16A peptidases and possess genes that are likely homologs to the blue-light sensor white-collar 1, a Neurospora crassa gene that has a well-established role in maintaining circadian rhythms. We find that E. muscae has an expanded group of acid-trehalases, consistent with trehalose being the primary sugar component of fly (and insect) hemolymph. We uncover evidence that E. muscae diverged from other entomophthoralean fungi by expansion of existing families, rather than loss of particular domains, and possesses a potentially unique suite of secreted catabolic enzymes, consistent with E. muscae's species-specific, biotrophic lifestyle. Altogether, we provide a genetic and molecular foundation that we hope will provide a platform for the continued study of the unique biology of entomophthoralean fungi.

The North Temperate Lakes Long-Term Ecological Research (NTL-LTER) program has been extensively used to improve understanding of how aquatic ecosystems respond to environmental stressors, climate fluctuations, and human activities. Here, we report on the metagenomes of samples collected between 2000 and 2019 from Lake Mendota, a freshwater eutrophic lake within the NTL-LTER site. We utilized the distributed metagenome assembler MetaHipMer to coassemble over 10 terabases (Tbp) of data from 471 individual Illumina-sequenced metagenomes. A total of 95,523,664 contigs were assembled and binned to generate 1,894 non-redundant metagenome-assembled genomes (MAGs) with ≥50% completeness and ≤10% contamination. Phylogenomic analysis revealed that the MAGs were nearly exclusively bacterial, dominated by Pseudomonadota (Proteobacteria, N = 623) and Bacteroidota (N = 321). Nine eukaryotic MAGs were identified by eukCC with six assigned to the phylum Chlorophyta. Additionally, 6,350 high-quality viral sequences were identified by geNomad with the majority classified in the phylum Uroviricota. This expansive coassembled metagenomic dataset provides an unprecedented foundation to advance understanding of microbial communities in freshwater ecosystems and explore temporal ecosystem dynamics.

Abstract Background Few studies have longitudinally assessed the determinants of depressive symptoms among persons 80 years and older. The aim of this study was to estimate the determinants of depressive symptoms among persons 80 years and older based on 4-wave national longitudinal data from Thailand. Methods Data from the Health, Aging, and Retirement in Thailand study from 2015, 2017, 2020 and 2022 were utilized. The sample was restricted to community-dwelling persons 80 years and older (analytic sample: n = 2763 observations). For the pooled sample, average age was 85.0 years (range 80–117 years). Established measurements were used to assess depressive symptoms. Linear fixed effects regression was applied to assess the time-variant determinants and outcomes. Results Regressions found that higher functional disability and an increase in the number of chronic conditions worsened depressive symptoms. More favourable self-rated physical health, and higher exercise frequency improved depressive symptoms. In addition, among women higher subjective economic status decreased depressive symptoms. Conclusions This longitudinal study enhances our understanding of the determinants of depressive symptoms among persons 80 years and older. Strategies to delay or decrease functional disability, chronic conditions, increase physical activity, and improve subjective economic status may help in reducing depressive symptoms.

Abstract The cerebral biomarkers, neurofilament light chain (NfL), amyloid-β, tau, and neuron specific enolase (NSE) reflect a wide spectrum of neurological damage in the brain and spinal cord. With this study, we aimed to assess whether these biomarkers hold any potential diagnostic value for the three most common canine neurological diseases. Canines suffering from meningoencephalitis of unknown origin (MUO), brain tumors, and selected non-infectious myelopathies were included. For each diagnosis, we analyzed these biomarkers in the cerebrospinal fluid collected via cranial puncture from the cisterna magna. Elevated levels of CSF tau, NfL, and NSE were observed in MUO, with all three biomarkers being intercorrelated. Tau and NSE were increased while amyloid-β was decreased in dogs suffering from tumors. In contrast, no biomarker changes were observed in dogs with myelopathies. Covariates such as age, sex, or castration had minimal impact. CSF biomarkers may reflect molecular changes related to MUO and tumors, but not to non-infectious myelopathies. The combination of NfL, tau, and NSE may represent useful biomarkers for MUO as they reflect the same pathology and are not influenced by age.

Insect pest species are generally expected to become more destructive with climate change because of factors such as weakened host tree defences during droughts and increased voltinism under rising temperatures; however, responses will vary by species due to a variety of factors, including altered interactions with their natural enemies. Entomopathogens are a substantial source of mortality in insects, but the likelihood of epizootics can depend strongly on climatic conditions. Previous research indicates that rates of infection of the spongy moth (Lymantria dispar) by its host-specific fungal pathogen, Entomophaga maimaiga, increase with environmental moisture and decrease as temperatures rise. High temperatures may have direct and indirect (due to the associated drying) effects on the fungus, but the interactive effects between temperature and moisture level on larval infection are unclear. Here, we test the hypothesis that warmer, drier conditions will decrease rates of infection of spongy moth larvae by E. maimaiga. We evaluated the effects of precipitation and temperature on larval mortality caused by E. maimaiga with a manipulative field experiment, conducted in one of the northernmost and coldest parts of the spongy moth’s non-native range in North America. We caged laboratory-reared spongy moth larvae in experimentally warmed open-air forest plots, exposing the larvae to soil inoculated with E. maimaiga resting spores during two consecutive trials. Caged larvae were exposed to three temperature treatments — ambient, 1.7 °C above ambient and 3.4 °C above ambient — and either supplemental precipitation (+173 mm per trial) or ambient precipitation. Opposite to our hypothesis, there was no significant effect of supplemental precipitation, nor an interaction between precipitation and temperature. There was, however, a significant positive effect of increasing temperature on the number of larvae infected. On average, in each respective trial, larval infection increased by 44% and 50% under the elevated temperature treatments compared to ambient temperature. Experimental warming may have increased infections because ambient temperatures at the field site were suboptimal for fungal germination. The results from this experiment suggest that, in colder portions of the spongy moth’s invasive range, increasing temperatures due to climate change may enhance the ability of E. maimaiga to help control populations of the spongy moth.

Abstract Background This study aimed to investigate the relationship between migration background and the utilization of preventive healthcare services. Methods Cross-sectional data from wave 5 in the year 2014, with a sample size of 7,684 individuals, were extracted from the nationally representative German Ageing Survey. The survey included community-dwelling individuals aged 40 years and above, with migration background serving as the primary independent variable. The outcomes measured included participation in cancer screenings, flu vaccinations, and routine health check-ups. Multiple logistic regressions were used to examine the association between migration background and preventive healthcare services. Results Regressions showed that the presence of a migration background with personal migration experience (compared with not having a migration background) was associated with a lower likelihood of using preventive healthcare services. More precisely, compared to individuals not having a migration background, individuals with a migration background and personal migration experience had a lower likelihood of routine health check-ups (OR = 0.76, 95% CI: 0.61 to 0.95), flu vaccinations (OR = 0.75, 95% CI: 0.59 to 0.95) and cancer screenings (OR = 0.71, 95% CI: 0.57 to 0.89). In contrast, there was no significant association between the presence of a migration background without personal migration experience (compared with not having a migration background) and the use of preventive healthcare services. Conclusion In conclusion, results showed differences between individuals without migration background and individuals with migration background (and with personal migration experience) in terms of using preventive healthcare services. It may be helpful to specifically address individuals with migration background (and with migration experience) in terms of using preventive healthcare services.

Introduction: The objective of this study was to clarify the frequency of fear of dementia and the factors associated with it. Methods: Data were taken from a nationally representative sample (n = 4,000; average age was 54.9 years, SD: 8.5 years, age ranges from 40 to 70 years, 49.6% of the respondents were women). Similar to prior research, fear of dementia was quantified using a tool ranging from 1 (no fear of dementia) to 4 (severe fear of dementia). Results: In sum, 19.0% reported no fear of dementia, 34.6% reported a little fear of dementia, 33.8% reported some fear of dementia, and 12.7% reported severe fear of dementia. Regressions showed that greater fear of dementia was significantly associated with being female, being younger, poorer self-rated health, the presence of at least one chronic disease, not living in the same household with a partner or not being in a relationship at all, having depressive symptoms and anxiety symptoms. Conclusion: Study findings showed that fear of dementia is particularly associated with health-related factors, age and gender. Lifestyle factors and other socioeconomic factors were only occasionally significant. Future research should explore the reasons for such a higher frequency of people’s fear of dementia. It would also be interesting to find out new factors associated with the fear of dementia. Furthermore, further research could focus on cross-country comparisons and could stratify the results by important groups, e.g., by sex or education, but also cultural and ethnic aspects.

Abstract The North Temperate Lakes Long-Term Ecological Research (NTL-LTER) program has been extensively used to improve understanding of how aquatic ecosystems respond to environmental stressors, climate fluctuations, and human activities. Here, we report on the metagenomes of samples collected between 2000 and 2019 from Lake Mendota, a freshwater eutrophic lake within the NTL-LTER site. We utilized the distributed metagenome assembler MetaHipMer to coassemble over 10 terabases (Tbp) of data from 471 individual Illumina-sequenced metagenomes. A total of 95,523,664 contigs were assembled and binned to generate 1,894 non-redundant metagenome-assembled genomes (MAGs) with ≥50% completeness and ≤10% contamination. Phylogenomic analysis revealed that the MAGs were nearly exclusively bacterial, dominated by Pseudomonadota (Proteobacteria, N = 623) and Bacteroidota (N = 321). Nine eukaryotic MAGs were identified by eukCC with six assigned to the phylum Chlorophyta. Additionally, 6,350 high-quality viral sequences were identified by geNomad with the majority classified in the phylum Uroviricota. This expansive coassembled metagenomic dataset provides an unprecedented foundation to advance understanding of microbial communities in freshwater ecosystems and explore temporal ecosystem dynamics.

We explore the impact of language education policy on language enrolments and provision in primary and secondary government schools In Australia, specifically in New South Wales (NSW) and Victoria, which have strikingly different policy settings. NSW adopts a 'weak but flexible' policy, mandating a very limited minimum time allocation for language study but allowing multiple entry points at senior secondary level. Victoria adopts a 'strong' mandatory policy, requiring continuous commitment to language study. Using available data, the study first compares enrolment data trends overall before considering the most widely taught languages at primary and secondary level, with additional analysis of a single secondary student cohort. Amongst the findings, we observe a marked reversal of previously falling language enrolments over time in Victoria, with substantially higher numbers overall compared to NSW where numbers have instead fallen, thus seemingly attesting to the impact of effective mandatory policies. While neither policy setting seems impactful enough in attracting and sustaining language study through to senior secondary level, a seeming pattern of convergence at this level masks at least partly the effect of access to alternative learning mechanisms on enrolments, resulting in much more frequent completion of Year 12 language study in Victoria.

This article examines Vietnamese students' motivation for learning Mandarin Chinese during their study abroad in Taiwan and their construction of self in relation to this language learning motivation. A combination of several concepts of ideal L2 self, ought-to L2 self, instrumental motive, integrative motive, linguistic capital, and multiple self-aspects is used as a theoretical lens to gain insights into the students' Chinese learning motivation. The study employs a qualitative research approach in which semi-structured interviews with English-medium students from five Taiwanese universities were conducted. Findings reveal that the students' motivation for learning Chinese contributed to portraying their ideal and ought-to Chinese selves, which subsume their different instrumental and integrative motives for language learning. The ideal Chinese self they would like to become possesses Chinese linguistic capital, which would confer on them advantages pertaining to their study, career development and social relations. The students' ideal Chinese self also incorporates and reinforces their (desired) cultural, economic and social selves. Implications for supporting international students' motivation for out-of-class language learning and their construction of self at the institutional level are then discussed.