Workplace sedentary health risks and exercise interventions

Sedentary lifestyle and physical inactivity are causes of major health risks including cardiovascular disease (CVD), diabetes and cancer. Workplace is an ideal setting to understand both the prevalence of these risks and for devising and implementing effective intervention strategies. It is now possible to perform direct workplace assessments to identify the sedentary prevalence and assess the sedentary related health risks, which can include assessing the risks of atherosclerosis, hypertension, hypercholesterolemia, hyperglyaemia and reduced cardiorespiratory capacity. Based on evaluating the workplace health risks, it is possible to identify individuals who may be at higher CVD risk so they can be targeted with a risk-reduction intervention that can also be tailored towards improving healthy behaviours, especially towards physical activity activity and exercise. This chapter explains workplace sedentary risks, and provides examples of CVD risk prevalence, particularly within the university campus workplace, and presents examples of an exercise based targeted interventions aimed at reducing CVD risks amongst high risk sedentary employees.

Computer-based tools for assessing micro-longitudinal patterns of cognitive function in older adults

Patterns of cognitive change over micro-longitudinal timescales (i.e., ranging from hours to days) are associated with a wide range of age-related health and functional outcomes. However, practical issues with conducting high-frequency assessments make investigations of micro-longitudinal cognition costly and burdensome to run. One way of addressing this is to develop cognitive assessments that can be performed by older adults, in their own homes, without a researcher being present. Here, we address the question of whether reliable and valid cognitive data can be collected over micro-longitudinal timescales using unsupervised cognitive tests.In study 1, 48 older adults completed two touchscreen cognitive tests, on three occasions, in controlled conditions, alongside a battery of standard tests of cognitive functions. In study 2, 40 older adults completed the same two computerized tasks on multiple occasions, over three separate week-long periods, in their own homes, without a researcher present. Here, the tasks were incorporated into a wider touchscreen system (Novel Assessment of Nutrition and Ageing (NANA)) developed to assess multiple domains of health and behavior. Standard tests of cognitive function were also administered prior to participants using the NANA system.Performance on the two “NANA” cognitive tasks showed convergent validity with, and similar levels of reliability to, the standard cognitive battery in both studies. Completion and accuracy rates were also very high. These results show that reliable and valid cognitive data can be collected from older adults using unsupervised computerized tests, thus affording new opportunities for the investigation of cognitive function.