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Adulting is hard on the heart: teen to young adulthood is a critical time to address risk

Mar 26, 2025 View Original Article
  • Bias Rating

    -32% Somewhat Liberal

  • Reliability

    75% ReliableGood

  • Policy Leaning

    -32% Somewhat Liberal

  • Politician Portrayal

    N/A

Bias Score Analysis

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

Overall Sentiment

30% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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100%
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Bias Meter

Somewhat Liberal

-32%

Contributing sentiments towards policy:

60% : Supported by more than 35 million volunteers globally, we fund groundbreaking research, advocate for the public's health, and provide critical resources to save and improve lives affected by cardiovascular disease and stroke.
57% : If their parents are insured through the Affordable Care Act, emerging adults age out of coverage after age 26.
56% : Scientific statements outline what is currently known about a topic and what areas need additional research.
53% : American Heart Association guidelines provide the Association's official clinical practice recommendations. Co-authors are Vice Chair Anandita Agarwala, M.D.; Carissa M. Baker-Smith, M.D., M.P.H., FAHA; Matthew J. Feinstein, M.D., M.Sc., FAHA; Karen Jakubowski, Ph.D.; Jill Kaar, Ph.D., FAHA; Niyati Parekh, Ph.D., M.S., R.D., FAHA; Kershaw V. Patel, M.D.; and Janna Stephens, Ph.D., R.N. Authors' disclosures are listed in the manuscript.
40% : Health care engagement also provides an important opportunity to address cardiovascular health before pregnancy, since suboptimal cardiovascular health increases the risk of adverse pregnancy outcomes, such as gestational diabetes, preeclampsia and pre-term birth.

*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.

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