Untangling the conflation of ‘young adults’ and ‘young people’ in STI and sexual health policy and sex education

Young adults, aged 18–30 years, are disproportionally mentioned in sexually transmissible infection surveillance data both in Australia and internationally. This contributes to categorising young adults as an ‘at risk’ group in health policy. How young adults are framed in policy, and what informs this, have direct implications for policy priorities and responses, including the development of health promotion programmes. In this paper, we provide a case study of Australia’s National Strategies for Blood Borne Viruses and Sexually Transmissible Infections from 2005 to 2017. We identify how ‘young adults’ as a population are masked by, and subsumed within, the broader category of ‘young people’ within these strategies. As a result, young adults become framed by default as a ‘risk category’ that requires education to correct its deficits, regardless of personal experience. For health promotion to advocate, mediate and enable better sexual health outcomes, a policy environment is needed that reflects the changing social and cultural contexts and sexual independence that young adults experience. Sexual health policies should reflect the complexity and opportunities of young adulthood if we are to offer an enabling policy environment for innovative and nuanced health promotion strategies, including adult appropriate health education.     

Differences by age and sex in the sedentary time of adults in Scotland

Previous nationally-representative research in Scotland found a j-shaped relationship between age and leisure sedentary time (ST): a decrease from young to middle-age, before rising steeply in older-age. This study investigated the effects of age and sex on weekday (including work) ST for all adults and stratified by work-status, and on weekend day ST. Differences in the relative contributions of component behaviours were also investigated. Responses from 14,367 adult (≥16 years) 2012–14 Scottish Health Survey participants were analysed using linear regressions. We found no j-shaped relationship between age and weekday ST. Instead, only 16–24 year olds reported lower levels than those over 75 years (6.6 (95% CI: 6.3–6.9) compared to 7.4 (95% CI: 7.2–7.6) hours/day; p < 0001). The j-shape was only evident in the stratified analysis amongst women not in work, and for weekend day ST for all groups. For those in work, work ST accounted for 45% of weekday ST. Television/screen ST made up over half of leisure ST on weekdays and weekend days, regardless of sex, age, or work-status. These results challenge our understanding of how ST varies by age. Interventions to reduce ST should consider differences in the relative contributions of ST behaviours by age and work-status.