Young love: Romantic concerns and associated mental health issues among adolescent help-seekers

Over 50% of young people have dated by age 15. While romantic relationship concerns are a major reason for adolescent help-seeking from counselling services, we have a limited understanding of what types of relationship issues are most strongly related to mental health issues and suicide risk. This paper used records of 4019 counselling sessions with adolescents (10–18 years) seeking help from a national youth counselling service for a romantic relationship concern to: (i) explore what types and stage (pre, during, post) of romantic concerns adolescents seek help for; (ii) how they are associated with mental health problems, self-harm and suicide risk; and (iii) whether these associations differ by age and gender. In line with developmental-contextual theory, results suggest that concerns about the initiation of relationships are common in early adolescence, while concerns about maintaining and repairing relationships increase with age. Relationship breakups were the most common concern for both male and female adolescents and for all age groups (early, mid, late adolescence). Data relating to a range of mental health issues were available for approximately half of the sample. Post-relationship concerns (including breakups) were also more likely than pre- or during-relationship concerns to be associated with concurrent mental health issues (36.8%), self-harm (22.6%) and suicide (9.9%). Results draw on a staged developmental theory of adolescent romantic relationships to provide a comprehensive assessment of relationship stressors, highlighting post-relationship as a particularly vulnerable time for all stages of adolescence. These findings contribute to the development of targeted intervention and support programs.

Fidgeting is associated with lower mortality risk

Context Evidence from prospective cohort studies has suggested that high volumes of reported daily sitting time is associated with mortality.1 ,2 However, not all have observed the same association.3 Fidgeting (small movements associated with nervousness or impatience), could provide additional energy expenditure when sitting, although the relationship with sitting and health outcomes had yet to be examined. Hagger-Johnson et al examined data from nearly 13 000 women to determine whether fidgeting modified the association between sitting time and mortality. Methods This study featured prospective data from 12 778 participants (aged 37–78 years) in the Women's Cohort Study (UK). Average daily sitting time was reported for weekdays and weekend days, and combined …

Novel application of a discrete choice experiment to identify preferences for a national healthcare-associated infection surveillance programme: A cross-sectional study

Objective: To identify key stakeholder preferences and priorities when considering a national healthcare-associated infection (HAI) surveillance programme through the use of a discrete choice experiment (DCE). Setting: Australia does not have a national HAI surveillance programme. An online web-based DCE was developed and made available to participants in Australia. Participants: A sample of 184 purposively selected healthcare workers based on their senior leadership role in infection prevention in Australia. Primary and secondary outcomes: A DCE requiring respondents to select 1 HAI surveillance programme over another based on 5 different characteristics (or attributes) in repeated hypothetical scenarios. Data were analysed using a mixed logit model to evaluate preferences and identify the relative importance of each attribute. Results: A total of 122 participants completed the survey (response rate 66%) over a 5-week period. Excluding 22 who mismatched a duplicate choice scenario, analysis was conducted on 100 responses. The key findings included: 72% of stakeholders exhibited a preference for a surveillance programme with continuous mandatory core components (mean coefficient 0.640 (p<0.01)), 65% for a standard surveillance protocol where patient-level data are collected on infected and non-infected patients (mean coefficient 0.641 (p<0.01)), and 92% for hospital-level data that are publicly reported on a website and not associated with financial penalties (mean coefficient 1.663 (p<0.01)). Conclusions: The use of the DCE has provided a unique insight to key stakeholder priorities when considering a national HAI surveillance programme. The application of a DCE offers a meaningful method to explore and quantify preferences in this setting.