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The research goal was to estimate public satisfaction with ambient air quality in an industrial city in Russia and describe certain peculiarities in the perception of related health risks. The resulting estimates were used as grounds for describing urban environmental quality. The empirical base of the research was provided by the results of a social study performed in a Russian city with over a million inhabitants. That city was included into the “Clean air” Federal project. The data were collected by conducting an internet survey (n=544). Having analyzed these data, we detected that public satisfaction with ambient air quality was rather low (not more than 11% of the participants chose the variants “quite satisfied” or “fully satisfied”). Most respondents estimated ambient air quality as being “poor” or “very poor” (giving a 3-score estimate or even lower according to a 7-score scale). They also believed that air pollution produced negative effects on their health. People living in an industrial city tend to have alarmist perception of health risks. These risks seem uncontrollable and involuntary to them. Women are a more risk-sensitive group in comparison with men. These obtained data corroborate a hypothesis about a direct relationship between actual and perceived environmental pollution.

We address the maximum size of binary codes and binary constant weight codes with few distances. Previous works established a number of bounds for these quantities as well as the exact values for a range of small code lengths. As our main results, we determine the exact size of maximal binary codes with two distances for all lengths \(n\ge 6\) as well as the exact size of maximal binary constant weight codes with \(2\), \(3\), and \(4\) distances for several values of the weight and for all but small lengths.Mathematics Subject Classifications: 52C10, 05D05, 94B65Keywords: Johnson space, Erdös-Ko-Rado, Delsarte inequalities

Behavioural addictions, also known as non-substance-related addictions, encompass a range of compulsive behaviours that closely mirror substance use disorders in their effects on the brain's reward system and the individual's daily life. These addictions include, but are not limited to, gambling disorder, internet gaming disorder, compulsive shopping, and the focus of this review - exercise addiction. Exercise addiction is characterized by an intense, uncontrollable urge to engage in physical activity, despite potential negative consequences. Unlike substance use disorders, exercise addiction often remains underrecognized, overshadowed by the widespread promotion of regular physical activity as a healthy lifestyle choice. This review aims to offer a comprehensive overview of exercise addiction, covering its psychological origin and characteristics, diagnostic criteria, co-occurrence with other psychiatric disorders, epidemiology among athletes and management strategies.

The goal of this paper is to extend research on parental involvement in education and its relationship to social class and inequalities. We do so by developing a new theoretical framework that helps us to better understand and explain cross-national and cross-cultural differences in how parental involvement in education differs across socio-economic groups. We propose that giving greater analytical attention to the role of institutional factors, cultural processes, and the underlying class and economic structures of particular countries is important for understanding the social mechanisms underpinning patterns of parental involvement in education. Once this framework has been developed, we identify promising directions for future research.

Predicting childhood blood lead levels (BLLs) has had mixed success, and it is unclear if individual- or neighborhood-level variables are most predictive. An ensemble machine learning (ML) approach to identify the most relevant predictors of BLL ≥2μg/dL in urban children was implemented. A cross-sectional sample of 603 children (~7 years of age) recruited between 2009-2019 from Montevideo, Uruguay participated in the study. 77 individual- and 32 neighborhood-level variables were used to predict BLLs ≥2μg/dL. Three ensemble learners were created: one with individual-level predictors (Ensemble-I), one with neighborhood-level predictors (Ensemble-N), and one with both (Ensemble-All). Each ensemble learner comprised four base classifiers with 50% training, 25% validation, and 25% test datasets. Predictive performance of the three ensemble models was compared using area under the curve (AUC) for the receiver operating characteristic (ROC), precision, sensitivity, and specificity on the test dataset. Ensemble-I (AUC: 0.75, precision: 0.56, sensitivity: 0.79, specificity: 0.65) performed similarly to Ensemble-All (AUC: 0.75, precision: 0.63, sensitivity: 0.79, specificity: 0.69). Ensemble-N (AUC: 0.51, precision: 0.0, sensitivity: 0.0, specificity: 0.50) severely underperformed. Year of enrollment was most important in Ensemble-I and Ensemble-All, followed by household water Pb. Three neighborhood-level variables were among the top 10 important predictors in Ensemble-All (density of bus routes, dwellings with stream/other water source and distance to nearest river). The individual-level only model performed best, although precision was improved when both neighborhood and individual-level variables were included. Future predictive models of lead exposure should consider proximal predictors (i.e., household characteristics).

Objectives Narrative communication has demonstrated effectiveness in promoting positive health behaviours, delivering support and coping with complex decision-making. Formal research evaluating this intervention for cancer treatment in Africa is lacking. We aimed to develop, and assess acceptability and usability of survivor video narrative interventions for breast cancer treatment in Botswana.Design A pilot study design.Setting Single-centre, tertiary hospital, sub-Saharan Africa.Participants Eight women, ≥18 years old, with stages I–III breast cancer were enrolled for the video intervention. 106 women, ≥18 years old, with stages I–IV breast cancer viewed the narrative videos and 98 completed the acceptability and usability surveys.Intervention Survivor narrative videos were developed using the theory of planned behaviour and using a purposive sample of Batswana, Setswana-speaking, breast cancer survivors, who had completed systemic treatment and surgery with high rates of adherence to the prescribed treatment plan.Primary outcomes We assessed acceptability and usability among prospectively enrolled patients presenting for routine breast cancer care at Princess Marina Hospital in Botswana, using a 13-item survey.Results Participants expressed high acceptability and usability of the videos, including 99% (97/98) who strongly agreed/agreed that the video presentations were easy to understand, 92% (90/98) who would recommend to other survivors and 94% (92/98) who wished there were more videos. Additionally, 89% (87/98) agreed or strongly agreed that the one-on-one instruction on how to use the tablet was helpful and 87% (85/98) that the video player was easy to use.Conclusion Culturally appropriate survivor video narratives have high acceptability and usability among patients with breast cancer in Botswana. There is an opportunity to leverage this intervention in routine breast cancer care for treatment support. Future studies will test the implementation and effectiveness of narrative videos on a wider scale, including for patients being treated for other cancers.

PURPOSE We undertook a study to examine how stigma influences the uptake of training on medication for opioid use disorder (MOUD) in primary care academic programs. METHODS We conducted a qualitative study of 23 key stakeholders responsible for implementing MOUD training in their academic primary care training programs that were participants in a learning collaborative in 2018. We assessed barriers to and facilitators of successful program implementation and used an integrated approach to develop a codebook and analyze the data. RESULTS Participants represented the family medicine, internal medicine, and physician assistant fields, and they included trainees. Most participants described clinician and institutional attitudes, misperceptions, and biases that enabled or hindered MOUD training. Perceptions included concerns that patients with OUD are 'manipulative' or 'drug seeking.' Elements of stigma in the origin domain (ie, beliefs by primary care clinicians or the community that OUD is a choice and not a disease), the enacted domain (eg, hospital bylaws banning MOUD and clinicians declining to obtain an X-Waiver to prescribe MOUD), and the intersectional domain (eg, inadequate attention to patient needs) were perceived as major barriers to MOUD training by most respondents. Participants described strategies that improved the uptake of training, including giving attention to clinician concerns, clarifying the biology of OUD, and ameliorating clinician fears of being ill equipped to provide care for patients. CONCLUSIONS OUD-related stigma was commonly reported in training programs and impeded the uptake of MOUD training. Potential strategies to address stigma in the training context, beyond providing content on effective evidence-based treatments, include addressing the concerns of primary care clinicians and incorporating the chronic care framework into OUD treatment. Key words: stigma; primary care; opioid addiction; opioid use disorder; drug users; opiate substitution treatment; MAT; buprenorphine; methadone; naltrexone; training programs; medical education; addiction medicine; vulnerable populations; qualitative research https://doi.org/10.1370/afm.2920, INTRODUCTION The US Preventive Services Task Force recommends screening for unhealthy drug use, including opioid use disorder (OUD), in adults and states that 'services for accurate diagnosis, effective treatment, and [...]