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Due to the international paucity of empirical evidence, this study aimed to investigate the health metrics and lifestyle behaviours of a staff cohort in a higher education institution (HEI) in Ireland.

Data were collected from 279 (16.4% response rate) HEI staff (academic, management, clerical/support), via a web-based health questionnaire that incorporated validated measures such as the Mental Health Index-5, Energy and Vitality Index, Cohen's Perceived Stress Scale (short form) and the AUDIT-C drinking subscale. A cluster analytical procedure was used to examine the presence of distinct clusters of individuals exhibiting either optimal or sub-optimal health behaviours.

A multitude of concerning patterns were identified including poor anthropometric profiles (64.4% of males overweight/obese), excessive occupational sitting time (67.8% of females sitting for = 4 h per day), hazardous drinking among younger staff (38.2% of 18–34 year olds), sub-optimal sleep duration on weeknights (82.2% less than 8 h), less favourable mean psychometric indices than the general Irish population, and insufficient fruit and vegetable intake (62.1% reporting <5 daily servings). Cluster analysis revealed “Healthy lifestyle” individuals exhibited significantly lower BMI values, lower stress levels and reported fewer days absent from work compared to those with a “Sub-optimal lifestyle”.

In contrast to the abundance of research pertaining to student cohorts, the current study is the first to examine the clustering of health-related variables in a cohort of HEI staff in Ireland. Findings will be used to inform policy at the host institution and will be of broader interest to higher education stakeholders elsewhere. Future longitudinal studies are required to monitor the health challenges experienced by this influential, yet under-researched cohort.

Immersive virtual reality (IVR) has been frequently proposed as a promising tool for learning. However, researchers have commonly implemented a plethora of design elements in these IVR systems, which makes the specific aspects of the system that are necessary to achieve beneficial outcomes unclear. Against this background, this study aims to combine the literature on presence with learning theories to propose that the ability of IVR to present 3D objects to users improves the presence of these objects in the virtual environment compared with 2D objects, leading to increased learning performance.

To test this study’s hypotheses, the authors conducted a 2 (training condition: approach vs avoid) x 2 (object presence: high vs low) between-subjects laboratory experiment that used IVR with 83 female participants.

The results support this study’s hypotheses and show that training with high object presence leads to greater reactions to cues (chocolate cravings) and improved health behaviour (chocolate consumption).

This study shows that increased object presence leads to unique experiences for users, which help reinforce training effects. Moreover, this work sheds further light on how immersive computer technologies can affect user attitudes and behaviour. Specifically, this work contributes to IVR research by showing that learning effects can be enhanced through an increased degree of object presence.