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Evidence is lacking as to the superiority of dual-focused versus single-focused approaches in treating depression and alcohol use comorbidity. Different people may also value the different features of treatment options differently, necessitating a decision-support tool. This study aims to test the acceptability, feasibility, safety and potential usefulness of the Alcohol and Depression Decision-Aid for Psychological Treatments (ADDAPT).

ADDAPT was developed according to International Patient Decision-Aid Standards and in consultation with potential end users. Adults with depression and alcohol use comorbidity, who were considering/recently considered psychological treatments, were recruited via online advertisements. After clicking on the study URL, participants accessed the ADDAPT e-book and completed validated and purpose-designed questionnaires.

Of the 24 participants, most would recommend ADDAPT to others (79.2% agree) and endorsed it as easy-to-use (75%), useful in decision-making (79.2%), presenting balanced (87.5%), up-to-date (91.7%), easy-to-understand (79.2%) and trustworthy information (83.3%), which did not provoke anxiety (i.e. safety; 75%). Post-use, participants felt well prepared to decide on treatment (M = 3.48/5) and demonstrated good treatment knowledge (M = 65.83%). All but one participant indicated a treatment choice supported by best available evidence, and decisional conflict scores except for the uncertainty subscale were below the threshold for decisional delay (all M < 37.5/100).

ADDAPT is the first decision-aid of its kind, with pilot findings supporting its acceptability, feasibility, safety and potential usefulness for improving decision-making quality among people considering psychological treatment options for depression and alcohol use comorbidity.

The purpose of this paper is to highlight some testing procedures, both in time/frequency framework, useful to test for significant cycles in insurance data. The US underwriting cycle is measured using the growth rates of real premiums.

In addition to the traditional AR(2) model, two new approaches are suggested: testing for a significant peak in the periodogram using Fisher g test and a nonparametric version of it, and testing for unit root cycles in insurance data.

All approaches find empirical evidence for a cyclical behaviour of the growth rates of property‐liability real premiums. Results on the length of dominant cycle still diverge, according to the approach (time/frequency domain).

Compared to the existing literature, the present study innovates in that it highlights additional testing procedures, helpful to detect significant cycles in insurance time series. The underwriting cycle is analysed through the growth rates of real premiums.

In particular, in this article, the authors investigate the degree of persistence in the credit-to-gross domestic product (GDP) ratio in 44 Organisation for Economic Co-operation and Development (OECD) economies in the context of nonlinear deterministic trends.

The authors use Chebyshev's polynomials in time, which allow us to model changes in the data in a smoother way than by structural breaks.

This study’s results indicate that approximately one-quarter of the series display non-linear structures, and only Argentina displays a mean reverting pattern.

Policy implications of the results obtained are discussed at the end of the manuscript.

The authors use an approach developed that allows for non-linear trends based on Chebyshev polynomials in time, with the residuals being fractionally integrated or integrated of order d, where d can be any real value.

This paper aims to analyse the persistence of the S&P500 and DAX 30 stock indices as well as of the Fed’s Effective Federal Funds rate and of the European Central Bank’s Marginal Lending Facility rate, and the long-run linkages between stock prices and interest rates in the USA and Europe, respectively.

The methodology is based on the concepts of fractional integration and cointegration.

Using monthly data from January 1999 to December 2022, the results can be summarised as follows. All series examined are non-stationary: stock prices are found to be I(1) while interest rates display orders of integration substantially above 1, which implies a rejection of the hypothesis of mean reversion in all cases examined.

This paper uses an appropriate econometric framework to obtain new, reliable empirical evidence. All four series are highly persistent, and mean reversion does not occur in any single case. Moreover, the fractional cointegration analysis suggests that stock prices and interest rates are not linked in the long run.

The current pilot study explored food insecurity, food waste, food related behaviours and cooking confidence of UK consumers following the COVID-19 lockdown.

Data were collected from 473 UK-based consumers (63% female) in March 2020. A cross-sectional online survey measured variables including food insecurity prevalence, self-reported food waste, food management behaviours, confidence and frequency of use of a range of cooking methods, type of food eaten (ultra-processed, semi-finished, unprocessed) and packaging type foods are purchased in.

39% of participants have experienced some food insecurity in the last 12 months. Being younger, having a greater BMI and living in a smaller household were associated with food insecurity. Green leaves, carrots, potatoes and sliced bread are the most wasted of purchased foods. Polenta, green leaves and white rice are the most wasted cooked foods. Food secure participants reported wasting a smaller percentage of purchased and cooked foods compared to food insecure participants. Overall, participants were most confident about boiling, microwaving and stir-frying and least confident with using a pressure cooker or sous vide. Food secure participants were more confident with boiling, stir-frying, grilling and roasting than insecure food participants.

This has implications for post lockdown policy, including food policies and guidance for public-facing communications.

We identified novel differences in self-report food waste behaviours and cooking confidence between the food secure and insecure consumers and observed demographics associated with food insecurity.