Health Factors Tied to Youth-Onset Prediabetes
- Bias Rating
-20% Somewhat Liberal
- Reliability
70% ReliableGood
- Policy Leaning
-20% Somewhat Liberal
- Politician Portrayal
N/A
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The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
16% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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Contributing sentiments towards policy:
57% : The findings suggest that screening for social determinants of health -- the non-medical factors that influence a person's health and risk of disease -- may help identify youth at risk of prediabetes, which could ultimately improve early interventions that prevent progression to type 2 diabetes.54% : "This study underscores the importance of using social factors, which are modifiable -- meaning that we can address them -- to understand and reduce diabetes risk in adolescents as opposed to personal, non-modifiable characteristics like race and ethnicity," said senior author Mary Ellen Vajravelu, M.D., M.S.H.P., assistant professor of pediatrics at Pitt and pediatric endocrinologist at UPMC Children's Hospital of Pittsburgh.
51% : Food insecurity, low household income and not having private health insurance are associated with higher rates of prediabetes in adolescents, independent of race and ethnicity, according to a new JAMA Network Open study by University of Pittsburgh and UPMC researchers.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.