A social network analysis approach to assess COVID19-related disruption to substance use treatment and informal social interactions among people who use drugs in Scotland.

AIMS: To assess the extent of Coronavirus-related disruption to health and social care treatment and social interactions among people with lived or living experience of substance use in Scotland, and explore potential reasons for variations in disruption. DESIGN: Cross sectional mixed methods interview, incorporating a social network 'egonet interview' approach asking about whether participants had interactions with a range of substance use, health, social care or third sector organisations, or informal social interactions. SETTING: Five Alcohol and Drug Partnership Areas in Scotland. PARTICIPANTS: 57 (42% women) participants were involved in the study, on average 42 years old. MEASUREMENTS: Five-point Likert scale reporting whether interactions with a range of services and people had gotten much better, better, no different (or no change), worse, or much worse since COVID19 and lockdown. Ratings were nested within participants (Individuals provided multiple ratings) and some ratings were also nested within treatment service (services received multiple ratings). The nested structure was accounted for using cross classified ordinal logistic multilevel models. FINDINGS: While the overall average suggested only a slight negative change in interactions (mean rating 2.93), there were substantial variations according to type of interaction, and between individuals. Reported change was more often negative for mental health services (Adjusted OR = 0.93 95% CI 0.17,0.90), and positive for pharmacies (3.03 95% CI 1.36, 5.93). The models found between-participant variation of around 10%, and negligible between-service variation of around 1% in ratings. Ratings didn't vary by individual age or gender but there was variation between areas. CONCLUSIONS: Substance use treatment service adaptations due to COVID19 lockdown led to both positive and negative service user experiences. Social network methods provide an effective way to describe complex system-wide interaction patterns, and to measure variations at the individual, service, and area level.

Peer effects on health-related behaviours of adolescents in Scotland using social network analysis: a cross-sectional study.

BACKGROUND: Previous research suggests that adolescent norms and behaviours may be influenced by peers. The aim of this study was to investigate social clustering of health outcomes among school friendship groups. METHODS: Cross-sectional surveys were collected from Oct 26, 2022, to March 30, 2023, in four secondary schools in Scotland's central belt, and all Secondary 2 (12-13 years) and Secondary 4 (14-15 years) students were invited to take part. Schools self-selected into the study, between 6% and 27% had a free school meal registration (Scotland average 25%). The survey asked about health and about friendships in school. The outcomes of interest were binary indicators of: mental health and self-esteem using validated scales, smoking, drinking without parents knowing (DWPK), and trying drugs. Ethics approval for the study was given by the University of Glasgow (200190035) and all participants gave consent via an online form. We used Auto-Logistic Actor Attribute Models (ALAAMs) to model the association between features of individuals' social networks and their health outcomes. We specified a model for each health outcome separately including parameters: indegree, outdegree, and simple contagion, and combined using meta-analysis. FINDINGS: Response rate was 74% (n=1097; 50% boys, 46% girls, 4% other). Based on self-report measures, 40% participants had poor mental health, 15% had low self-esteem, 6% smoked regularly, 4% tried drugs, and 18% were drinking without parents knowing. Preliminary unadjusted analysis found evidence of social contagion for mental health. Odds of poor mental health for each additional friend with poor mental health was 1·15 (95% CI 1·05-1·26). There was no evidence of contagion for self-esteem (1·13, 0·95-1·34), smoking (1·14, 0·46-2·82), DWPK (0·88, 0·71-1·10), and having tried drugs (0·91, 0·38-2·19). Some networks had low or zero prevalence of the outcomes, increasing the uncertainty in the pooled estimate for the contagion parameter. INTERPRETATION: A cross-sectional study cannot differentiate between social contagion and selecting similar friends, and low prevalence and social desirability bias might have masked associations. However, the unique combination of social network data with advanced statistical modelling gives initial findings on the potential communicable nature of mental health and health behaviours in adolescence. Preliminary results indicate preventive approaches in schools could benefit from social network methods. FUNDING: Medical Research Council (MRC) and Chief Scientist Office (CSO).

Face mask use during the COVID-19 pandemic: how risk perception, experience with COVID-19, and attitude towards government interact with country-wide policy stringency.

BACKGROUND: During the 2020 COVID-19 pandemic, governments imposed numerous regulations to protect public health, particularly the (mandatory) use of face masks. However, the appropriateness and effectiveness of face mask regulations have been widely discussed, as is apparent from the divergent measures taken across and within countries over time, including mandating, recommending, and discouraging their use. In this study, we analyse how country-level policy stringency and individual-level predictors associate with face mask use during the early stages of the global COVID-19 pandemic. METHOD: First, we study how (self and other-related) risk perception, (direct and indirect) experience with COVID-19, attitude towards government and policy stringency shape face mask use. Second, we study whether there is an interaction between policy stringency and the individual-level variables. We conduct multilevel analyses exploiting variation in face mask regulations across countries and using data from approximately 7000 students collected in the beginning of the pandemic (weeks 17 through 19, 2020). RESULTS: We show that policy stringency is strongly positively associated with face mask use. We find a positive association between self-related risk perception and mask use, but no relationship of mask use with experience with COVID-19 and attitudes towards government. However, in the interaction analyses, we find that government trust and perceived clarity of communication moderate the link between stringency and mask use, with positive government perceptions relating to higher use in countries with regulations and to lower use in countries without regulations. CONCLUSIONS: We highlight that those countries that aim for widespread use of face masks should set strict measures, stress self-related risks of COVID-19, and use clear communication.

The role of impulsivity and delay discounting in student compliance with COVID-19 protective measures.

During the 2020 COVID-19 pandemic, governments set recommendations and restrictions that have given rise to new situations that require residents to deliberate and respond nonautomatically. For highly impulsive individuals, dealing with these situations may be harder, as they tend to deliberate less about the consequences of their behaviors. In this study, we investigate the relationship between impulsivity and delay discounting on the one hand and compliance with COVID-19 restrictions on the other hand. We distinguish between compliance with social distancing measures and compliance with hygiene measures. Regression analyses of an international sample of 6759 students from seven European countries reveal that the self-reported personality construct of impulsivity is negatively related to both types of compliance behavior. However, and unexpectedly, we also find a weak positive association between the discount rate-as measured by a behavioral task-and compliance. Our study highlights the importance of individual differences in impulsivity in regard to compliance with public health measures during a pandemic.

Networks of reliable reputations and cooperation: a review.

Reputation has been shown to provide an informal solution to the problem of cooperation in human societies. After reviewing models that connect reputations and cooperation, we address how reputation results from information exchange embedded in a social network that changes endogenously itself. Theoretical studies highlight that network topologies have different effects on the extent of cooperation, since they can foster or hinder the flow of reputational information. Subsequently, we review models and empirical studies that intend to grasp the coevolution of reputations, cooperation and social networks. We identify open questions in the literature concerning how networks affect the accuracy of reputations, the honesty of shared information and the spread of reputational information. Certain network topologies may facilitate biased beliefs and intergroup competition or in-group identity formation that could lead to high cooperation within but conflicts between different subgroups of a network. Our review covers theoretical, experimental and field studies across various disciplines that target these questions and could explain how the dynamics of interactions and reputations help or prevent the establishment and sustainability of cooperation in small- and large-scale societies. This article is part of the theme issue 'The language of cooperation: reputation and honest signalling'.