Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy.

Background: To eliminate health disparities, research will depend on our ability to reach select groups of people (eg, samples of a particular racial or ethnic group with a particular disease); unfortunately, researchers often experience difficulty obtaining high-quality data from samples of sufficient size.

Objective: Past studies utilizing MTurk applaud its diversity, so our initial objective was to capitalize on MTurk's diversity to investigate psychosocial factors related to diabetes self-care.

Methods: In Study 1, a "Health Survey" was posted on MTurk to examine diabetes-relevant psychosocial factors.

The Relationship between Diabetes Self-efficacy and Diabetes Self-care in American Indians and Alaska Natives.

The objective of the present study was to investigate how American Indian/Alaska Natives' (AI/ANs') attitudes and beliefs might influence how they experience and manage diabetes, with particular attention paid to their attitudes about disease causality. An AI/AN sample of 119 participants completed an anonymous survey that examined the impact of judgments of personal responsibility for disease onset, anger, self-blame, social support, and diabetes self-efficacy on diabetes self-care. Our primary model was tested using structural equation modeling.

Psychosocial predictors of diabetes management.

Objective: To investigate whether a perception of responsibility for disease onset and self-blame might influence disease management in people with diabetes.

Methods: Our survey assessed perceived responsibility for disease onset, self-blame, anger, social support, and disease management in a sample of 46 individuals with diabetes.

Results: As perceptions of responsibility for disease onset increased, so did trait anger.