Older people now currently drink alcohol more frequently than previous generations, indicating a need to understand how this influences health and wellbeing in older adults. However, knowledge and awareness of the changing role alcohol plays in the lives of older people is not necessarily widely understood by allied health professionals in acute hospital contexts. In turn, conversations about drinking alcohol in later life may not be routinely addressed as part of practice, limiting an older person's choice to make informed decisions about their drinking. This paper qualitatively examines when occupational therapists (N = 17) in an acute hospital setting will initiate a conversation with older people (65+ years) about their drinking, guided by a theoretical lens that encompasses both person-centredness and collective occupation. Adopting a qualitative methodology, this study illustrates a typology of reasoning describing how, and in what circumstances, therapists ask older people about their alcohol use. Three themes were generated that provide further insight into the typology, these being ‘hesitancy in practice’, ‘failure to link life transitions to alcohol use’ and ‘challenges of focusing on healthfulness’. These findings provide a potentially useful tool for therapists, services and organisations to self-assess their approach to asking older people about alcohol use; a necessary element of professional health-care practice as social trends in alcohol use continue to increase.

Nutrient profiling (NP) is a method for evaluating the healthfulness of foods. Although many NP models exist, most have not been validated. This study aimed to examine the content and construct/convergent validity of five models from different regions: Australia/New Zealand (FSANZ), France (Nutri-Score), Canada (HCST), Europe (EURO) and Americas (PAHO). Using data from the 2013 UofT Food Label Information Program (n15342 foods/beverages), construct/convergent validity was assessed by comparing the classifications of foods determined by each model to a previously validated model, which served as the reference (Ofcom). The parameters assessed included associations (Cochran–Armitage trend test), agreement (κ statistic) and discordant classifications (McNemar’s test). Analyses were conducted across all foods and by food category. On the basis of the nutrients/components considered by each model, all models exhibited moderate content validity. Although positive associations were observed between each model and Ofcom (all Ptrend<0·001), agreement with Ofcom was ‘near perfect’ for FSANZ (κ=0·89) and Nutri-Score (κ=0·83), ‘moderate’ for EURO (κ=0·54) and ‘fair’ for PAHO (κ=0·28) and HCST (κ=0·26). There were discordant classifications with Ofcom for 5·3 % (FSANZ), 8·3 % (Nutri-Score), 22·0 % (EURO), 33·4 % (PAHO) and 37·0 % (HCST) of foods (all P<0·001). Construct/convergent validity was confirmed between FSANZ and Nutri-Score v. Ofcom, and to a lesser extent between EURO v. Ofcom. Numerous incongruencies with Ofcom were identified for HCST and PAHO, which highlights the importance of examining classifications across food categories, the level at which differences between models become apparent. These results may be informative for regulators seeking to adapt and validate existing models for use in country-specific applications.