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Registered social workers in English Local Authorities are required to have an expertise in the complex decision-making needed to promote well-being when an adult’s own judgement about their well-being and wishes about how to promote it might, in the circumstances, put their well-being at risk. Such circumstances are complex partly because core professional values – promoting autonomy and protecting from harm – can come into conflict. Given the consequential nature of social workers’ decisions, it is essential to be able to evaluate the quality of social workers’ decision-making. In this paper, we set out the systematic development, in collaboration with expert social workers, of a bespoke methodology to measure decision-making quality and investigate underpinning cognitive processes. Central to our methodology was social workers’ consideration of key legal principles. First, we reviewed the research literature to identify existing measurement schemes aspects of which might be suitable for incorporating into our methodology. No existing measurement schemes were found, but we identified a factorial survey vignette-based scheme which seemed promising as the basis for our own methodology. Second, by reviewing statute and case law, we identified 40 key legal principles which social workers should consider in their decision-making. Next, based on these principles, we developed four hypothetical case vignettes to activate decision-making. Finally, we developed four scoring templates, one for each vignette, setting out exemplar judgements and decisions against which practitioners’ judgements and decisions could be compared and scored. Our new methodology provides a means of assessing the quality of social workers’ decision-making and, as prior- and post-intervention quality can be measured, has the potential to generate evidence of the impact of policy and practice interventions on decision-making.

Raman microspectroscopy is useful for the analysis of biological samples, because chemical and structural information can be obtained without using labels. This protocol brings together practical guidelines from expert research groups. Raman spectroscopy can be used to measure the chemical composition of a sample, which can in turn be used to extract biological information. Many materials have characteristic Raman spectra, which means that Raman spectroscopy has proven to be an effective analytical approach in geology, semiconductor, materials and polymer science fields. The application of Raman spectroscopy and microscopy within biology is rapidly increasing because it can provide chemical and compositional information, but it does not typically suffer from interference from water molecules. Analysis does not conventionally require extensive sample preparation; biochemical and structural information can usually be obtained without labeling. In this protocol, we aim to standardize and bring together multiple experimental approaches from key leaders in the field for obtaining Raman spectra using a microspectrometer. As examples of the range of biological samples that can be analyzed, we provide instructions for acquiring Raman spectra, maps and images for fresh plant tissue, formalin-fixed and fresh frozen mammalian tissue, fixed cells and biofluids. We explore a robust approach for sample preparation, instrumentation, acquisition parameters and data processing. By using this approach, we expect that a typical Raman experiment can be performed by a nonspecialist user to generate high-quality data for biological materials analysis.

Background The twelve-item Self-Report Habit Index (SRHI) is the most popular measure of energy-balance related habits. This measure characterises habit by automatic activation, behavioural frequency, and relevance to self-identity. Previous empirical research suggests that the SRHI may be abbreviated with no losses in reliability or predictive utility. Drawing on recent theorising suggesting that automaticity is the ‘active ingredient’ of habit-behaviour relationships, we tested whether an automaticity-specific SRHI subscale could capture habit-based behaviour patterns in self-report data. Methods A content validity task was undertaken to identify a subset of automaticity indicators within the SRHI. The reliability, convergent validity and predictive validity of the automaticity item subset was subsequently tested in secondary analyses of all previous SRHI applications, identified via systematic review, and in primary analyses of four raw datasets relating to energy‐balance relevant behaviours (inactive travel, active travel, snacking, and alcohol consumption). Results A four-item automaticity subscale (the ‘Self-Report Behavioural Automaticity Index’; ‘SRBAI’) was found to be reliable and sensitive to two hypothesised effects of habit on behaviour: a habit-behaviour correlation, and a moderating effect of habit on the intention-behaviour relationship. Conclusion The SRBAI offers a parsimonious measure that adequately captures habitual behaviour patterns. The SRBAI may be of particular utility in predicting future behaviour and in studies tracking habit formation or disruption.

University students typically face acute financial pressure, which can adversely impact mental health, wellbeing, and academic outcomes. This scoping review of qualitative and quantitative studies aimed to identify distinct money-management behaviours, and psychological determinants, to inform future interventions. Two electronic databases were searched for observational studies focusing on money-management behaviours and their correlates (in quantitative studies) or reflections on experiences of such behaviours (qualitative studies). Of 789 unique papers identified, 12 papers, reporting 10 distinct studies (six quantitative, two qualitative, two mixed-methods), were entered into review. We inductively categorised all behaviours and psychological correlates, and narratively synthesised findings. We documented 15 distinct money-management behaviours, which fitted five higher-order categories: budgeting, saving (i.e., building funds), spending, borrowing, and settling debts. Twenty-two distinct potential correlates were observed, which fitted six categories: personality characteristics, financial beliefs and knowledge, attitudes, affective responses, self-efficacy and control, and social influences. Financial beliefs and knowledge, attitudes, self-efficacy and control, and social support from parents and peers were generally associated with 'better' money management practices. Heterogeneity in behaviours and correlates studied precluded definitive conclusions. Future studies should more comprehensively adopt theories and concepts from behavioural science, to distinguish between different money-management behaviours, identify which behaviours have most impact on students, and establish which specific determinants are most related to which money-management behaviours.

Situating safari tourism within the discourses and practices of development, Selling the Serengeti examines the relationship between the Maasai people of northern Tanzania and the extraordinary influence of foreign-owned ecotourism and big-game hunting companies. It contrasts two major approaches to community conservation—international NGO and state-sponsored conservation efforts on the one hand and the neoliberal private investment in tourism on the other—and investigates their profound effect on the Maasai's culture and livelihood. It further explores how these changing social and economic forces remake the terms through which state institutions and local people engage with foreign investors, communities, and their own territories. And finally it highlights how the new tourism arrangements change the shape and meaning of the nation-state and the village and in the process remake cultural belonging and citizenship. Benjamin Gardner's experiences in Tanzania began during a study-abroad trip in 1991. His stay led to a relationship with the nation and the Maasai people in Loliondo lasting almost twenty years; it also marked the beginning of his analysis of and ethnographic research into social movements, market-led conservation, and neoliberal development around the Serengeti.

Background In the wake of Covid-19, the prevalence of working from home (‘home-working’) is expected to rise. Yet, working from home can have negative health and wellbeing impacts. Interventions are needed to promote effective ways of working that also protect workers’ health and wellbeing. This study explored the feasibility and acceptability of an intervention intended to promote home-working practices that would protect and promote health behaviour and wellbeing. Methods An uncontrolled, single-arm mixed-methods trial design was employed. Forty-two normally-office-based UK workers, working from home between January–February 2021 (during the Covid pandemic), consented to receive the intervention. The intervention: a digital document offering evidence-based recommendations for home-working in ways conducive to health behaviour and wellbeing. Feasibility and acceptability were quantitatively indexed by: expressions of interest within 1 week (target threshold ≥ 35); attrition across the one-week study period (threshold ≤ 20%); and the absence of any apparent detriments in self-reported physical activity, sedentary behaviour, snacking, and work-related wellbeing prior to and one week after receiving the intervention. Qualitative think-aloud data, obtained while participants read through the intervention, and analysed using reflexive thematic analysis, explored acceptability. Semi-structured interviews conducted one week after intervention exposure were content-analysed to identify whether and which behaviour changes were adopted. Results Two feasibility criteria were met: 85 expressions of interest indicated satisfactory intervention demand, and no detriments were observed in health behaviours or wellbeing. Forty-two participants (i.e., maximum capacity for the study; 26 females, 16 males, aged 22–63) consented to take part. 31% dropped out over the one-week study period leaving a final sample of 29 (18 females, 11 males, aged 22–63), exceeding identified attrition thresholds. Think-aloud data showed that participants concurred with intervention guidance, but felt it lacked novelty and practicality. Follow-up interviews produced 18 (62%) participant reports of intervention adherence, where nine recommendations reportedly prompted behaviour change in at least one participant. Conclusions Mixed evidence was found for intervention feasibility and acceptability. Whilst the information was deemed relevant and of value, further development is required to increase its novelty. It may also be more fruitful to provide this information via employers, to encourage and emphasise employer endorsement.

Considering that physical activity is associated with healthy ageing and helps to delay, prevent, or manage a plethora of non-communicable diseases in older adults, there is a need to investigate the factors that influence physical activity participation in this population. Thus, we investigated physical activity correlates among community-dwelling older adults (aged ≥50 years) in six low- and middle-income countries. Cross-sectional data were analyzed from the World Health Organization's Study on Global Ageing and Adult Health. Physical activity was assessed by the Global Physical Activity Questionnaire. Participants were dichotomized into low (i.e., not meeting 150 minutes of moderate physical activity per week) and moderate-to-high physically active groups. Associations between physical activity and a range of correlates were examined using multivariable logistic regressions. The overall prevalence (95%CI) of people not meeting recommended physical activity levels in 34,129 participants (mean age 62.4 years, 52.1% female) was 23.5% (22.3%-24.8%). In the multivariable analysis, older age and unemployment were significant sociodemographic correlates of low physical activity. Individuals with low body mass index (<18.5kg/m2), bodily pain, asthma, chronic back pain, chronic obstructive pulmonary disease, hearing problems, stroke, visual impairment, slow gait, and weak grip strength were less likely to meet physical activity targets in the overall sample (P<0.05). The associations varied widely between countries. Our data illustrates that a multitude of factors influence physical activity target achievement in older adults, which can inform future interventions across low- and middle-income countries to assist people of this age group to engage in regular physical activity. Future prospective cohort studies are also required to investigate the directionality and mediators of the relationships observed.

The development of new effective cancer treatment methods has attracted much attention, mainly due to the limited efficacy and considerable side effects of currently used cancer treatment methods such as radiation therapy and chemotherapy. Photothermal therapy based on the use of plasmonically resonant metallic nanoparticles has emerged as a promising technique to eradicate cancer cells selectively. In this method, plasmonic nanoparticles are first preferentially uptaken by a tumor and then selectively heated by exposure to laser radiation with a specific plasmonic resonant wavelength, to destroy the tumor whilst minimizing damage to adjacent normal tissue. However, several parameters can limit the effectiveness of photothermal therapy, resulting in insufficient heating and potentially leading to cancer recurrence. One of these parameters is the patient’s pain sensation during the treatment, if this is performed without use of anesthetic. Pain can restrict the level of applicable laser radiation, cause an interruption to the treatment course and, as such, affect its efficacy, as well as leading to a negative patient experience and consequential general population hesitancy to this type of therapy. Since having a comfortable and painless procedure is one of the important treatment goals in the clinic, along with its high effectiveness, and due to the relatively low number of studies devoted to this specific topic, we have compiled this review. Moreover, non-invasive and painless methods for temperature measurement during photothermal therapy (PTT), such as Raman spectroscopy and nanothermometry, will be discussed in the following. Here, we firstly outline the physical phenomena underlying the photothermal therapy, and then discuss studies devoted to photothermal cancer treatment concerning pain management and pathways for improved efficiency of photothermal therapy whilst minimizing pain experienced by the patient.

Background Studies of the physical activity intention-behavior gap, and factors that may moderate the gap (e.g., habit, perceived behavioral control), can inform physical activity promotion efforts. Yet, these studies typically apply linear modeling procedures, and so conclusions rely on linearity and homoscedasticity assumptions, which may not hold. Methods We modelled and plotted physical activity intention-behavior associations and the moderation effects of habit using simulated data based on (a) normal distributions with no shared variance, (b) correlated parameters with normal distribution, and (c) realistically correlated and non-normally distributed parameters. Results In the uncorrelated and correlated normal distribution datasets, no violations were unmet, and the moderation effects applied across the entire data range. However, because in the realistic dataset, few people who engaged in physical activity behavior had low intention scores, the intention-behavior association was non-linear, resulting in inflated linear moderation estimations of habit. This finding was replicated when tested with intention-behavior moderation of perceived behavioral control. Conclusions Comparisons of the three scenarios illustrated how an identical correlation coefficient may mask different types of intention-behavior association and moderation effects. These findings highlight the risk of misinterpreting tests of the intention-behavior gap and its moderators for physical activity due to unfounded statistical assumptions. The previously well-documented moderating effects of habit, whereby the impact of intention on behavior weakens as habit strength increases, may be based on statistical byproducts of unmet model assumptions.