House Republicans were rewarded for supporting Donald Trump's 'stop the steal' efforts.

In early 2021, members of Congress cast a series of high-profile roll call votes forcing them to choose between condoning or opposing Donald Trump's efforts to overturn the 2020 presidential election. Substantial majorities of House Republicans supported Trump, first by opposing the certification of electoral votes from Arizona and Pennsylvania on January 6th, then by opposing the president's impeachment for inciting the attack on the US Capitol, and then by opposing a bill that would have created a national commission to investigate the events of January 6th. We examine whether the House Republicans who voted to support Trump in 2021 were rewarded or punished in the 2022 congressional midterm elections. We find no evidence that members who supported Trump did better or worse in contested general election races. However, Trump supporters were less likely to lose primary elections, more likely to run unopposed in the general election, more likely to run for higher office, and less likely to retire from politics. Overall, there seem to have been no significant political costs and some significant rewards in 2022 for House Republicans who supported Trump's undemocratic behavior.

Characterizing Twitter chatter about temporary alcohol abstinence during "Dry January".

With roots as a public health campaign in the United Kingdom, "Dry January" is a temporary alcohol abstinence initiative encouraging participants to abstain from alcohol use during the month of January. Dry January has become a cultural phenomenon, gaining increasing news media attention and social media engagement. Given the utility of capturing naturalistic discussions around health topics on social media, we examined Twitter chatter about Dry January and associated temporary abstinence experiences. Public tweets were collected containing the search terms "dry january" or "dryjanuary" posted between 15 December and 15 February across 3 years (2020-2). A random subsample stratified by year (n = 3145) was pulled for manual content analysis by trained coders. Final codebook accounted for user sentiment toward Dry January, user account type, and themes related to Dry January participation. Engagement metadata (e.g. likes) were also collected. Though user sentiment was mixed, most tweets expressed positive or neutral sentiment toward Dry January (74.7%). Common themes included encouragement and support for Dry January participation (14.1%), experimentation with and promotion of nonalcoholic drinks (14.0%), and benefits derived from Dry January participation (10.4%). While there is promise in the movement to promote positive alcohol-related behavior change, increased efforts to deliver the campaign within a public health context are needed. Health communication campaigns designed to inform participants about evidence-based treatment and recovery support services proven to help people quit or cut down on their drinking are likely to maximize benefits.

Exploring anxiety as an influencing factor of the impact of exercise and mind-body prehabilitation on cognitive functioning among women undergoing breast cancer surgery.

OBJECTIVE: The purpose of this secondary analysis was to describe the prevalence of anxiety, depression, and perceived stress among women newly diagnosed with breast cancer and the impact of baseline and changes in anxiety on cognitive functioning following exercise and mind-body prehabilitation interventions. METHODS: The sample consisted of 49 women with newly diagnosed breast cancer (stages I-III) who planned to undergo breast cancer surgery at two academic cancer centers. Participants were randomized to receive an exercise or mind-body prehabilitation intervention between the time of diagnosis and breast cancer surgery. Participants completed self-report measures of anxiety, depression (HADS), perceived stress, and cognitive functioning (EORTC-QLQ-C30) at study enrollment and prior to surgery (post-intervention). The relationships between change in cognitive functioning and change in anxiety among all participants were estimated using linear regression modeling. RESULTS: A significant proportion of women with newly diagnosed breast cancer had clinically significant anxiety (34.0%). Greater anxiety was moderately associated with worse cognitive functioning (r = -0.33) at baseline. Linear modeling found that changes in cognitive functioning and anxiety were inversely related: Each one-unit decrease in anxiety was associated with a two-unit improvement in cognitive function (p = .06). CONCLUSIONS: Anxiety was common in women with newly diagnosed breast cancer and was related to worse cognitive functioning. Assessment of anxiety at the time of diagnosis may allow for earlier anxiety management and subsequent improvement in cognitive functioning.

[Alcohol consumption by health students: Ifsi protected?] / Consommation d'alcool des étudiants en santé : Ifsi protégé ?

A study of health students at the Université de Bretagne Occidentale showed that nursing students smoked more than those in other fields. The present study of health students in the same city shows that, conversely, students in nursing training institutes (Ifsi) consumed less alcohol.

Mitigating the SARS-CoV-2 Delta disease burden in Australia by non-pharmaceutical interventions and vaccinating children: a modelling analysis.

BACKGROUND: In countries with high COVID-19 vaccination rates the SARS-CoV-2 Delta variant resulted in rapidly increasing case numbers. This study evaluated the use of non-pharmaceutical interventions (NPIs) coupled with alternative vaccination strategies to determine feasible Delta mitigation strategies for Australia. We aimed to understand the potential effectiveness of high vaccine coverage levels together with NPI physical distancing activation and to establish the benefit of adding children and adolescents to the vaccination program. Border closure limited SARS-CoV-2 transmission in Australia; however, slow vaccination uptake resulted in Delta outbreaks in the two largest cities and may continue as international travel increases. METHODS: An agent-based model was used to evaluate the potential reduction in the COVID-19 health burden resulting from alternative vaccination strategies. We assumed immunity was derived from vaccination with the BNT162b2 Pfizer BioNTech vaccine. Two age-specific vaccination strategies were evaluated, ages 5 and above, and 12 and above, and the health burden determined under alternative vaccine coverages, with/without activation of NPIs. Age-specific infections generated by the model, together with recent UK data, permitted reductions in the health burden to be quantified. RESULTS: Cases, hospitalisations and deaths are shown to reduce by (i) increasing coverage to include children aged 5 to 11 years, (ii) activating moderate NPI measures and/or (iii) increasing coverage levels above 80%. At 80% coverage, vaccinating ages 12 and above without NPIs is predicted to result in 1095 additional hospitalisations per million population; adding ages 5 and above reduces this to 996 per million population. Activating moderate NPIs reduces hospitalisations to 611 for ages 12 and over, and 382 per million for ages 5 and above. Alternatively, increasing coverage to 90% for those aged 12 and above is estimated to reduce hospitalisations to 616. Combining all three measures is shown to reduce cases to 158, hospitalisations to 1 and deaths to zero, per million population. CONCLUSIONS: Delta variant outbreaks may be managed by vaccine coverage rates higher than 80% and activation of moderate NPI measures, preventing healthcare facilities from being overwhelmed. If 90% coverage cannot be achieved, including young children and adolescents in the vaccination program coupled with activation of moderate NPIs appears necessary to suppress future COVID-19 Delta-like transmission and prevent intensive care unit surge capacity from being exceeded.

Exploring changes in temporary abstinence in increasing and higher risk drinkers in England and Dry January participation in users of the Try Dry app in the UK between 2020 and 2021.

BACKGROUND: We looked at changes in the prevalence of increasing and higher risk drinkers reporting a reduction attempt motivated by temporary abstinence and changes in prevalence of use of the official app accompanying Dry January between 2020 vs 2021, following the onset of the COVID-19 pandemic. We also explored potential shifts in the sociodemographic composition of both groups. METHODS: We analysed data from: i) 1863 increasing and higher risk drinkers (defined as ≥ 8 on the AUDIT) responding to a nationally representative survey of adults in England in January and February 2020 and 2021, and ii) 104,598 users of the 'Try Dry' app, the official aid to those participating in Dry January 2020 and 2021 in the UK. We used logistic regression to examine shifts in the prevalence of increasing and higher risk drinkers reporting a reduction attempt motivated by temporary abstinence and explored whether there were shifts in the characteristics of this group in terms of AUDIT score, number of last year reduction attempts, smoking status, living alone, living with children, reducing alcohol consumption due to future health motives, age, sex, and occupational social grade between 2020 and 2021. We used t-tests and chi-squared tests to compare the prevalence of users of the 'Try Dry' app in 2020 and 2021 and examine whether the two groups differed in terms of age and sex. RESULTS: The proportion of increasing and higher risk drinkers reporting a reduction attempt motivated by temporary abstinence increased from 4% in 2020 to 8% in 2021 (OR = 2.07, 95% CI = 1.38-3.11, p < .001) with no changes detected in sociodemographic composition. The number of Try Dry app users in 2021 increased by 34.8% relative to 2020. App users in 2021 were two years older on average [p < .001, d = .02], with a 2% increase in the proportion of female app users [p < .001, vs. < .01]. CONCLUSIONS: Higher participation in Dry January 2021 relative to 2020 indicates increased engagement with a period of temporary abstinence following the COVID-19 related lockdowns in England and the UK, which is positive in the wider context of increasing alcohol consumption throughout the pandemic.

Using Natural Language Processing to Explore "Dry January" Posts on Twitter: Longitudinal Infodemiology Study.

BACKGROUND: Dry January, a temporary alcohol abstinence campaign, encourages individuals to reflect on their relationship with alcohol by temporarily abstaining from consumption during the month of January. Though Dry January has become a global phenomenon, there has been limited investigation into Dry January participants' experiences. One means through which to gain insights into individuals' Dry January-related experiences is by leveraging large-scale social media data (eg, Twitter chatter) to explore and characterize public discourse concerning Dry January. OBJECTIVE: We sought to answer the following questions: (1) What themes are present within a corpus of tweets about Dry January, and is there consistency in the language used to discuss Dry January across multiple years of tweets (2020-2022)? (2) Do unique themes or patterns emerge in Dry January 2021 tweets after the onset of the COVID-19 pandemic? and (3) What is the association with tweet composition (ie, sentiment and human-authored vs bot-authored) and engagement with Dry January tweets? METHODS: We applied natural language processing techniques to a large sample of tweets (n=222,917) containing the term "dry january" or "dryjanuary" posted from December 15 to February 15 across three separate years of participation (2020-2022). Term frequency inverse document frequency, k-means clustering, and principal component analysis were used for data visualization to identify the optimal number of clusters per year. Once data were visualized, we ran interpretation models to afford within-year (or within-cluster) comparisons. Latent Dirichlet allocation topic modeling was used to examine content within each cluster per given year. Valence Aware Dictionary and Sentiment Reasoner sentiment analysis was used to examine affect per cluster per year. The Botometer automated account check was used to determine average bot score per cluster per year. Last, to assess user engagement with Dry January content, we took the average number of likes and retweets per cluster and ran correlations with other outcome variables of interest. RESULTS: We observed several similar topics per year (eg, Dry January resources, Dry January health benefits, updates related to Dry January progress), suggesting relative consistency in Dry January content over time. Although there was overlap in themes across multiple years of tweets, unique themes related to individuals' experiences with alcohol during the midst of the COVID-19 global pandemic were detected in the corpus of tweets from 2021. Also, tweet composition was associated with engagement, including number of likes, retweets, and quote-tweets per post. Bot-dominant clusters had fewer likes, retweets, or quote tweets compared with human-authored clusters. CONCLUSIONS: The findings underscore the utility for using large-scale social media, such as discussions on Twitter, to study drinking reduction attempts and to monitor the ongoing dynamic needs of persons contemplating, preparing for, or actively pursuing attempts to quit or cut down on their drinking.

One-month alcohol abstinence national campaigns: a scoping review of the harm reduction benefits.

Over the last decade, one-month alcohol abstinence campaigns (OMACs) have been implemented within the general population in an increasing number of countries. We identified the published studies reporting data on OMACs to explore the following aspects: profile of participants, rates and factors associated with the completion of the abstinence challenge, and outcomes and harm reduction benefits in participating in the challenges. We screened 322 records, including those found in the grey literature, and reviewed 6 studies and 7 Dry July Annual Reports. Compared to non-participating alcohol users, participants were more likely to be female, have a higher income, and a higher level of education. They were heavier drinkers and were more concerned by the consequences of alcohol on health and by their health in general. Participants who achieved the one-month abstinence challenge were lower drinkers and more likely to have registered on the campaign-related Internet communities. Both successful and unsuccessful participants frequently reported health benefits, including sleep improvement and weight loss. Successful participants were more likely to durably change their alcohol drinking habits. Overall, OMACs provide short- or mid-term harm reduction benefits for both successful and unsuccessful participants. Findings were limited by the paucity of studies, their observational nature, and heterogeneity in the features of the different national campaigns, which would probably gain in enhanced internationalization.

Rapid Increase in SARS-CoV-2 P.1 Lineage Leading to Codominance with B.1.1.7 Lineage, British Columbia, Canada, January-April 2021.

Several severe acute respiratory syndrome coronavirus 2 variants of concern (VOCs) emerged in late 2020; lineage B.1.1.7 initially dominated globally. However, lineages B.1.351 and P.1 represent potentially greater risk for transmission and immune escape. In British Columbia, Canada, B.1.1.7 and B.1.351 were first identified in December 2020 and P.1 in February 2021. We combined quantitative PCR and whole-genome sequencing to assess relative contribution of VOCs in nearly 67,000 infections during the first 16 weeks of 2021 in British Columbia. B.1.1.7 accounted for <10% of screened or sequenced specimens early on, increasing to >50% by week 8. P.1 accounted for <10% until week 10, increased rapidly to peak at week 12, and by week 13 codominated within 10% of rates of B.1.1.7. B.1.351 was a minority throughout. This rapid expansion of P.1 but suppression of B.1.351 expands our understanding of population-level VOC patterns and might provide clues to fitness determinants for emerging VOCs.

Comparative analysis of stochastic seasonality, January effect and market efficiency between emerging and industrialized markets.

This study investigates whether there are significant differences in investment returns between emerging markets and industrialized markets in terms of stochastic seasonality, January effect and market efficiency. Data on investments, and returns for nine emerging countries and eleven industrialized countries spanning January 1990 to December 2020, were obtained from the Organization for Economic Cooperation and Development (OECD). The spectral nonparametric test was used to determine the presence of stochastic seasonality for each market while the regression test was used to determine the presence of January effect. In the case of determining the efficiency status of the markets, the variance ratio test and the runs test were used. In cases where there appeared to be differences between the two types of market, Fisher's exact test was used to verify such differences. The results show no significant differences between the two types of markets in terms of seasonality, January effect and efficiency statuses. Apart from Brazil which recorded stochastic seasonality, all others are not stochastically seasonal. In the case of the January effect, it was a mixed bag; five emerging markets had January effect while two industrialized markets had January effect.

Non-alcoholic beverage consumption among US adults who consume alcohol.

BACKGROUND AND AIMS: Non-alcoholic beverages (NABs) that mimic alcohol without inducing intoxication, such as non-alcoholic beers, non-alcoholic wines and spirit-free drinks, are increasing in popularity. It is unknown whether NABs help to mitigate or stimulate alcohol use. The present study aimed to describe NAB consumption practices among US adults consuming alcohol, characterize who is likely to consume NABs and examine whether NAB use influences desire for and perceived consumption of alcohol. DESIGN AND PARTICIPANTS: The survey study used data collected June-July 2023 from an on-line convenience sample. The first survey (n = 1906) assessed frequency of NAB consumption among US adults who consume alcohol. A second more detailed survey on use patterns was conducted with 466 respondents who reported past-year NAB consumption, of whom 153 (32.83%) screened positive on the CAGE questionnaire for alcohol use disorder (AUD). SETTING: This study took place in the United States. MEASUREMENTS: NAB consumption measures included type of NAB consumed, frequency, quantity, first consumption age, consumption reasons, consumption contexts and perceived effect on desire for and consumption of alcohol. Alcohol use measures included frequency, quantity and first consumption age. FINDINGS: Past-year NAB use was endorsed by 28.44% of respondents (61.70% ever used). Non-alcoholic liquor/'mocktails' were the most common NAB type consumed (83.69%). Compared with respondents without AUD, those who screened positive for AUD were significantly more likely to consume NABs in an effort to decrease or abstain from drinking alcohol [adjusted odds ratio (AOR) = 3.54, 95% confidence interval (CI) = 2.24-5.58] and 67.97% endorsed less alcohol consumption (3.23% endorsed more) due to their NAB use. NAB consumption frequency and quantity were significantly positively predicted by alcohol consumption frequency (AOR = 1.46, 95% CI = 1.17-1.83) and quantity (ß = 0.25, 95% CI = 0.15-0.35), respectively. CONCLUSION: Adults who consume alcohol and screen positive for alcohol use disorder report drinking non-alcoholic beverages as a harm reduction strategy.

Environmental factors shaping ungulate abundances in Poland.

Population densities of large herbivores are determined by the diverse effects of density-dependent and independent environmental factors. In this study, we used the official 1998-2003 inventory data on ungulate numbers from 462 forest districts and 23 national parks across Poland to determine the roles of various environmental factors in shaping country-wide spatial patterns of ungulate abundances. Spatially explicit generalized additive mixed models showed that different sets of environmental variables explained 39 to 50 % of the variation in red deer Cervus elaphus, wild boar Sus scrofa, and roe deer Capreolus capreolus abundances. For all of the studied species, low forest cover and the mean January temperature were the most important factors limiting their numbers. Woodland cover above 40-50 % held the highest densities for these species. Wild boar and roe deer were more numerous in deciduous or mixed woodlands within a matrix of arable land. Furthermore, we found significant positive effects of marshes and water bodies on wild boar abundances. A juxtaposition of obtained results with ongoing environmental changes (global warming, increase in forest cover) may indicate future growth in ungulate distributions and numbers.

Levofloxacin+Tetracycline Quadruple Regimen for Eradication of Helicobacter pylori: A Multicenter Multinational Randomized Controlled Trial.

Background: The ideal combination regimen for Helicobacter pylori (HP) eradication has not yet been determined and the success rate of HP eradication has been extensively reduced worldwide due to increasing antibiotic resistance. So this multinational multi-center randomized controlled trial was designed to evaluate the efficacy of tetracycline +levofloxacin for HP eradication. Methods: During a 6-month period, all of the cases with HP infection in eight referral tertiary centers of three countries were included and randomly allocated to receive either tetracycline + levofloxacin or clarithromycin plus amoxicillin quadruple regimen for two weeks. For all of the participants, pantoprazole was continued for 4 more weeks and after one to two weeks of off-therapy, they underwent urea breath test C13 to prove eradication. Results: Overall 788 patients were included (358 male (45.4%), average age 44.2 years). They were diagnosed as having non-ulcer dyspepsia (516 cases, 65.5%), peptic ulcer disease (PUD) (234 cases, 29.69%), and intestinal metaplasia (38 cases, 4.8%). Racially 63.1% were Caucasian, 14.5% Arab, 15.6% African, and 6.1% Asian. The participants were randomly allocated to groups A and B to receive either tetracycline + levofloxacin or clarithromycin. Among groups A and B in intention to treat (ITT) and per protocol (PP) analysis, 75.2% & 82.1% (285 cases) and 67.5% & 70.1% (276 cases) of participants achieved eradication, respectively (P = 0.0001). The complete compliance rate in groups A and B were 84.4% and 83.6%, respectively. During the study, 33.5% of the participants in group A (127 cases) reported side effects while the complication rate among group B was 27.9% (114 cases, P = 0.041). The most common complaints among groups A and B were nausea and vomiting (12.6% & 9.3%) and abdominal pain (4.48% & 2.68%), respectively. The rate of severe complications that caused discontinuation of medication in groups A and B were 2.1% and 1.46%, respectively (P = 679). In subgroup analysis, the eradication rates of tetracycline+levofloxacin among patients with non-ulcer dyspepsia, PUD, and intestinal metaplasia were 79.4%, 88.1%, and 73.9%, respectively. These figures in group B (clarithromycin base) were 71.3%, 67.6%, and 61.5% respectively (P = 0.0001, 0.0001, and 0.043). Conclusion: Overall, the combination of tetracycline+levofloxacin is more efficient for HP eradication in comparison with clarithromycin+amoxicillin despite more complication rate. In areas with a high rate of resistance to clarithromycin, this therapeutic regimen could be an ideal choice for HP eradication, especially among those who were diagnosed with PUD.

Mental health symptoms following the January 6th attack on the United States Capitol.

On January 6, 2021, rioters stormed the US Capitol to overturn the Congressional certification of Joseph Biden as the 46th president of the United States. In previous work, the symbolic dis/empowerment framework, as a result of sociopolitical context, has influenced health outcomes in certain sub-populations. We examine whether the Capitol Riot corresponds with an increase in mental health symptoms and explore whether this relation differs by individual political party affiliation and/or state electoral college victory. We utilize the Understanding America Study, a nationally representative panel of adults, between March 10, 2020-July 11, 2021. Using fixed effects linear regression, we find a modest increase above expected levels in mental health symptoms immediately following the Capitol Riot. This result holds for Democrats overall, Democrats in Biden states, and when restricting analyses to only states that voted for Biden (or separately, for Trump). Democrats show the greatest increase of mental health symptoms following the Capital Riot, supporting the symbolic dis/empowerment framework as well as notions of political polarization and allegiance. Social and political events of national importance may adversely affect mental health of specific subpopulations.

Post-traumatic stress disorder among civilians 6 and 18 months after the January 2015 terrorist attacks in the Paris region.

In the literature, the association between medium and long-term PTSD (post-traumatic stress disorder) after terrorist attack has rarely been described. The objective of our study was to identify the factors associated with PTSD in the medium and longer term among people exposed to a terrorist attack in France. We used data from a longitudinal survey of 123 terror-exposed people interviewed 6-10 (medium term) and 18-22 (long term) months after. Mental health was assessed by the Mini Neuropsychiatric Interview. PTSD in the medium term was associated with history of traumatic events, low levels of social support and severe peri-traumatic reactions, which were in turn associated with high levels of terror exposure. PTSD in the medium term was linked in turn to the presence of anxiety and depressive disorders, which was also linked to PTSD in the longer term. The factors leading to PTSD are different in the medium and long term. In order to improve future support for people exposed to distressing events, it is important to follow up people with intense peri-traumatic reactions, high levels of anxiety and depression and to measure reactions.

A multifaceted approach to explain short- and long-term PM2.5 concentration changes in Northeast Asia in the month of January during 2016-2021.

Changes in PM2.5 concentrations are influenced by interwoven impacts of key drivers (e.g., meteorology, local emissions, and regional emissions). However, it is challenging to quantitatively disentangle their impacts individually at once. Therefore, we introduced a multifaceted approach (i.e., meteorology vs. emissions and self-contribution vs. long-range transport) to analyze the effects of major drivers for long- and short-term PM2.5 concentration changes based on observation and simulation in the month of January during 2016-2021 in Northeast Asia. For the simulations, we conducted modeling with the WRF-CMAQ system. The observed PM2.5 concentrations in China and South Korea in January 2021 decreased by 13.7 and 9.8 µg/m3, respectively, compared to those in January 2016. Emission change was the dominant factor to reduce PM2.5 concentrations in China (-115%) and South Korea (-74%) for the 6 years. However, the short-term changes in PM2.5 concentrations between January of 2020-2021 were mainly driven by meteorological conditions in China (-73%) and South Korea (-68%). At the same time, in South Korea located in downwind area, the impact of long-range transport from upwind area (LTI) decreased by 55% (9.6 µg/m3) over the 6 years whereas the impact of local emissions increased (+2.9 µg/m3/year) during 2016-2019 but decreased (-4.5 µg/m3/year) during 2019-2021. Additionally, PM2.5 concentrations in the upwind area showed a positive relationship with LTIs. However, for the days when westerly winds became weak in the downwind area, high PM2.5 concentrations in upwind area did not lead to high LTIs. These results imply that the decline of PM2.5 concentrations in South Korea was significantly affected by a combination of emission reduction in upwind area and meteorological conditions that hinder long-range transport. The proposed multifaceted approach can identify the main drivers of PM2.5 concentration change in a region by considering the regional characteristics.

An integrated dual process simulation model of alcohol use behaviours in individuals, with application to US population-level consumption, 1984-2012.

INTRODUCTION: The Theory of Planned Behaviour (TPB) describes how attitudes, norms and perceived behavioural control guide health behaviour, including alcohol consumption. Dual Process Theories (DPT) suggest that alongside these reasoned pathways, behaviour is influenced by automatic processes that are determined by the frequency of engagement in the health behaviour in the past. We present a computational model integrating TPB and DPT to determine drinking decisions for simulated individuals. We explore whether this model can reproduce historical patterns in US population alcohol use and simulate a hypothetical scenario, "Dry January", to demonstrate the utility of the model for appraising the impact of policy interventions on population alcohol use. METHOD: Constructs from the TPB pathway were computed using equations from an existing individual-level dynamic simulation model of alcohol use. The DPT pathway was initialised by simulating individuals' past drinking using data from a large US survey. Individuals in the model were from a US population microsimulation that accounts for births, deaths and migration (1984-2015). On each modelled day, for each individual, we calculated standard drinks consumed using the TPB or DPT pathway. In each year we computed total population alcohol use prevalence, frequency and quantity. The model was calibrated to alcohol use data from the Behavioral Risk Factor Surveillance System (1984-2004). RESULTS: The model was a good fit to prevalence and frequency but a poorer fit to quantity of alcohol consumption, particularly in males. Simulating Dry January in each year led to a small to moderate reduction in annual population drinking. CONCLUSION: This study provides further evidence, at the whole population level, that a combination of reasoned and implicit processes are important for alcohol use. Alcohol misuse interventions should target both processes. The integrated TPB-DPT simulation model is a useful tool for estimating changes in alcohol consumption following hypothetical population interventions.

Temperature and precipitation gradients determine biomass in Birch (Betula spp.) and Fir (Abies spp.) in Eurasia.

Forest ecosystems are sinks of atmospheric carbon and maintain annual temperature. On the other hand, climate change entails changes in all the biota structures and functions, including forest cover and biomass. Temperature and precipitation are the main deterministic factors in species biomass change. Therefore, we compared the biomass of Betula spp. and Abies spp. at the stand level along trans-Eurasian hydrothermal gradients. We analyzed the biomass database of Betula and Abies forest stands in Eurasia. Climate variables explained about 14 and 16% of the total biomass variability in Betula and Abies, respectively. Our results showed that increasing temperature and precipitation positively impacted fir biomass. However, a negative impact was reported on needles and branches due to insufficient humidity. In birch forests, positive trends occur from cold to warm climate zones, but only when there is inadequate water supply. A negative correlation was reported in the moist areas. Most of the birch biomass components only increased in the precipitation gradient in cold climate zones. This positive trend transformed to negative in warm zones (except for branches). We modeled the possible temporal biomass change of tree species based on its territorial pattern in Eurasia using the principle of space-for-time substitution. The developments of models for the main forest-forming species of Eurasia allow us to predict changes in the productivity of the forest cover of Eurasia.

Has the increased participation in the national campaign 'Dry January' been associated with cutting down alcohol consumption in England?

AIMS: Dry January is a national multimedia campaign in the UK that encourages people to abstain from drinking alcohol during the month of January. The population-level campaign makes extensive use of email and social media to support participants and has reported a substantial increase in participation since 2015. This study aimed to assess whether the increase in participation in Dry January between 2015 and 2018 was associated with reduced alcohol consumption in England. DESIGN: Repeat cross-sectional design. SETTING: England, March 2014 to January 2018. PARTICIPANTS: A total of 37,142 respondents to the Alcohol Toolkit Study, a monthly in-home survey of alcohol consumption among representative cross-sectional samples of people aged 16+ years in England. MEASURES: Outcomes included i) percentage of adults reporting drinking monthly or less frequently in the last 6 months and ii) mean weekly alcohol consumption among drinkers derived from the Alcohol Use Disorders Identification Test questions on typical frequency and quantity in the last 6 months. ANALYSES: For each outcome, regression models were fitted for month: January (2015 and 2018) vs March-December (2014 and 2017) and for year: 2014/15 vs 2017/18. Interaction terms were included in the models to examine whether the difference between January and the preceding months on each outcome measure depended upon the year (2014/15 vs 2017/18). For non-significant interactions, Bayes factors were calculated to assess the relative strength of evidence for large effects (OR = 1.80 on monthly drinking and ß=-1.0 on mean consumption) compared with the null. RESULTS: Differences between January and other months were similar in 2014/15 and 2017/18 for adults reporting drinking monthly or less frequently and the mean consumption among drinkers (OR = 0.91, 95 %CI 0.79-1.05, BF = 0.05; ß = 0.55, 95 %CI=-0.14 to 1.25, BF = 0.13 respectively). CONCLUSIONS: The increase in participation in Dry January between 2015 and 2018 was not associated with large corresponding changes in people drinking monthly or less frequently over the last 6 months, or in mean weekly consumption among drinkers.

Do new trainees pose a threat to postoperative complications after hip fracture surgeries? Retrospective cohort of 1045 patients over a decade at a university hospital.

INTRODUCTION: Induction of new residents and surgical trainees in most institutes occurs once a year. Fresh residents with no experience, may pose a threat to the surgical procedure outcome and there can be a potential increase in patients' morbidity and mortality as a result of this turnover. Literature is inconclusive about this effect. Our aim was to study the "new residents' induction effect" on postoperative complications after hip fracture surgeries. METHODOLOGY: This is non funded non commercialized study from a university hospital. Investigators studied a retrospective cohort of 1045 adult hip fracture patients who were operated at our tertiary care and level 1 trauma centre of a metropolitan city between 2008 and 2018. We defined primary exposure as the time period of new resident's induction (January-March) with the primary outcome in-hospital and 30days postoperative complications. Cox proportional hazard algorithm analysis was done at univariate and multivariable levels reporting Crude Relative Risk (RR) and Adjusted Relative Risk (aRR), respectively. Results were reported in line with STROBE criteria. RESULTS: There were 274 (26%) patients in exposed group out of whom 109 (40%) developed postoperative complications. Interestingly, patients who had their surgeries during the induction period of new residents had 8% less risk of developing postoperative complications. However, result was statistically insignificant at both univariate and multivariable levels with RR; 95% C.I of 0.9 (0.78-1.22) and aRR; 95% C.I of 0.9 (0.78-1.22) after adjusting for the all other independent variables. CONCLUSION: The association of new residents' induction on postoperative hip fracture surgery complications, although protective, was insignificant after controlling for the potential confounding effect of patients' background and demographic characteristics. We recommend further multi-centre high powered studies to analyze this.