Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2017 Jun;48(6):1706-1714.
doi: 10.1161/STROKEAHA.117.015909. Epub 2017 May 9.

Behavioral Interventions for Stroke Prevention: The Need for a New Conceptual Model

Joel Salinas  1 , Lee H Schwamm  2
Affiliations
Review

Behavioral Interventions for Stroke Prevention: The Need for a New Conceptual Model

Joel Salinas et al. Stroke. 2017 Jun.
No abstract available

Keywords: behavior modification; primary prevention; risk factors; secondary prevention; social determinants of health.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Social cognitive theory conceptual pathways for how efficacy expectations can influence behavior directly and indirectly through outcome expectations, goals, and perceived sociostructural facilitators and barriers.
Figure 2
Figure 2
Conceptual model for behavioral strategies to modify risk factors in primary and secondary prevention.
Figure 3
Figure 3
Combinations of precision and extent of barriers addressed incorporated into the design of behavior change interventions. Whereas intervention A is easiest to implement and has low efficacy due to low precision and partially addressing barriers to behavior change, intervention B is challenging to implement and has low efficacy due to low individual precision while attempting to address all barriers, and intervention C is challenging to implement and has low efficacy due to high individual precision yet only partially addressing barriers, intervention D has the highest efficacy but is also the most challenging to implement from the combination of high precision and addressing all barriers relevant to the individual.
Figure 4
Figure 4
Example of a computer-assisted self-regulatory system for behavior change self-management.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. O’Donnell MJ, Chin SL, Rangarajan S, Xavier D, Liu L, Zhang H, et al. Global and regional effects of potentially modifiable risk factors associated with acute stroke in 32 countries (interstroke): A case-control study. Lancet. 2016;388:761–775. - PubMed
    1. Feigin VL, Krishnamurthi R. Stroke is largely preventable across the globe: Where to next? Lancet. 2016;388:733–734. - PubMed
    1. Reis RS, Salvo D, Ogilvie D, Lambert EV, Goenka S, Brownson RC, et al. Scaling up physical activity interventions worldwide: Stepping up to larger and smarter approaches to get people moving. Lancet. 2016;388:1337–1348. - PMC - PubMed
    1. Aveyard P, Lewis A, Tearne S, Hood K, Christian-Brown A, Adab P, et al. Screening and brief intervention for obesity in primary care: A parallel, two-arm, randomised trial. Lancet. 2016;388:2492–2500. - PMC - PubMed
    1. Lager KE, Mistri AK, Khunti K, Haunton VJ, Sett AK, Wilson AD. Interventions for improving modifiable risk factor control in the secondary prevention of stroke. Cochrane Database Syst Rev. 2014:CD009103. - PubMed

Publication types