Out of work, out of mind? Smartphone use and work-life boundaries

Smartphones are now ubiquitous and valuable in many professions and yet have also been blamed for creating an 'always on' culture, blurring boundaries between work and home. Research has shown that checking e-mails out-of-hours via computer makes workers feel more overloaded with work but also increases their sense of coping. A total of 94 participants completed a survey exploring whether the same pattern would emerge for accessing e-mail on smartphones, showing that those who use smartphones for work e-mail experienced lower levels of overload, but not coping, and push notifications were associated with greater use of smartphones for e-mail. However, there were no significant correlations between coping or overload and e-mail use or quantity, suggesting that lower overload is not due to the ability to processes or read more e-mails outside of work

Two observational studies examining the effect of a social norm and a health message on the purchase of vegetables in student canteen settings

There is some evidence from laboratory-based studies that descriptive social-norm messages are associated with increased consumption of vegetables, but evidence of their effectiveness in real-world settings is limited. In two observational field studies taking an ecological approach, a vegetable-related social norm (e.g. “Did you know that most students here choose to eat vegetables with their meal?”), and a health message (e.g. “Did you know that students who choose to eat vegetables have a lower risk of heart disease?”) were displayed in two different student canteens. Purchases were observed during three stages: baseline, intervention (when the posters were displayed) and immediate post-intervention (when the posters had been removed). Study 1 (n = 7598) observed the purchase of meals containing a portion of vegetables and Study 2 (n = 4052) observed the purchase of side portions of vegetables. In Study 1, relative to baseline, the social-norms intervention was associated with an increase in purchases of vegetables (from 63% to 68% of meals; OR = 1.24, CI = 1.03–1.49), which was sustained post-intervention (67% of meals; OR = 0.96, CI = 0.80–1.15). There was no effect of the health message (75% of meals at baseline, and 74% during the intervention; OR = 0.98, CI = 0.83–1.15). In Study 2, relative to baseline, there was an effect of both the social norm (22.9% of meals at baseline, rising to 32.5% during the intervention; OR = 1.62, CI = 1.27–2.05) and health message (rising from 43.8% at baseline to 52.8%; OR = 0.59, CI = 0.46-0.75). The increase was not sustained post-intervention for the social norm intervention (22.1%; OR = 0.59, CI = 0.46-0.75), but was sustained for the health intervention (48.1%; OR = 0.83, CI = 0.67–1.02). These results support further testing of the effectiveness of such messages in encouraging healthier eating and indicate the need for larger-scale testing at multiple sites using a randomised-controlled design