Behaviour change interventions for multiple risk factor exposures remain a key area for future research.
Four studies tested multiple risk factor interventions with a PA component, but the findings from these were inconclusive.
Multiple perspectives and broad insight are urgently needed to gain a deeper understanding of the interacting scientific, systems, and policy issues associated with multiple risk factor interventions (MRFIs).
It is likely that there are multiple risk factors involved in substance use in psychosis and more work to develop and test multiple risk factor models is required.
In conclusion, evaluating the genotype of ALDH2 and β3-AR may assist in predicting and preventing the development of fatty liver which may be related to multiple risk factor syndrome.
It would avoid the multiple risk factor measurement costs.
The advantages of age screening in the prevention of heart attack and stroke warrant considering its use in preference to multiple risk factor screening.
Our results show that age screening loses little in screening performance compared with multiple risk factor measurement methods and, with appropriately priced preventive treatment, is less expensive.
Estimates of detection rates and false-positive rates were used to compare the performance of age screening with multiple risk factor screening.
Age is by far the strongest determinant of CVD risk in multiple risk factor algorithms. Offering preventive treatment to everyone over a specified age without measuring other risk factors would be a simpler screening strategy than offering preventive treatment to everyone exceeding a specified CVD risk cut-off based on multiple risk factor measurement.
In multiple risk factor screening, a 10-year CVD risk cut-off of 1 in 5 (20%) has been adopted by the UK government, and recommended by the National Institute for Health and Clinical Excellence [16].
