A Design Approach for Risk Communication, the Case of Type 2 Diabetes

Author(s):  
Farzaneh Eftekhari ◽  
◽  
Tsai Lu Liu
2020 ◽  
Vol 11 (4) ◽  
pp. 2910-2923 ◽  
Author(s):  
Lianghua Xie ◽  
Jianling Mo ◽  
Jingdan Ni ◽  
Yang Xu ◽  
Hongming Su ◽  
...  

Malvidin 3-O-arabinoside is identified as a novel human pancreatic amylase inhibitor from the natural anthocyanin database with a structure-based design approach.


2010 ◽  
Vol 10 (1) ◽  
Author(s):  
Laura MC Welschen ◽  
Sandra DM Bot ◽  
Jacqueline M Dekker ◽  
Daniëlle RM Timmermans ◽  
Trudy van der Weijden ◽  
...  

2018 ◽  
Vol 52 (3) ◽  
pp. 262-271 ◽  
Author(s):  
Jielu Lin ◽  
Christopher S Marcum ◽  
Anna V Wilkinson ◽  
Laura M Koehly

Abstract Background Collecting complete and accurate family health history is critical to preventing type 2 diabetes. Purpose We seek to identify the optimal risk feedback approach that facilitates risk communication between parents and their adult children and helps them develop shared appraisals of family history of type 2 diabetes. Methods In a sample of parent-adult child dyads from 125 Mexican-heritage families residing in Houston, Texas, we examine change in parent-child dyadic (dis)agreement with respect to their shared family health history from baseline to 10 months after receipt of risk feedback generated by Family Healthware. A 2 × 2 factorial design is applied to test how the recipient (one parent or all family members) and the content (risk assessment with or without behavioral recommendations) of the feedback affect (dis)agreement through interpersonal ties, particularly dyadic risk communication. Results Providing risk assessment without behavioral recommendations to the parent, but not the adult child, shifts the dyads toward agreement (relative risk ratio [RRR]= 1.78, 95% confidence interval [CI] [1.18–2.67]), by activating reciprocal risk communication between parents and children (RRR =2.70, 95% CI [1.81–4.03]). Dyads with close interpersonal ties are more likely to shift toward agreement (RRR = 3.09, 95% CI [1.89–5.07]). Conclusion Programs aimed at improving family health history knowledge and accuracy of reports should tailor risk feedback strategically for better intervention effect and leverage a network approach in disease prevention among at-risk minority and/or immigrant populations. Trial Registration Number NCT00469339.


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