How Long to Read Applications of Data Science Methods in Discovering Opioid Prescribing Patterns and the Mechanisms Underlying Substance Use Initiation and Addiction

How Long Does it Take to Read Applications of Data Science Methods in Discovering Opioid Prescribing Patterns and the Mechanisms Underlying Substance Use Initiation and Addiction?

It takes the average reader 3 hours and 10 minutes to read Applications of Data Science Methods in Discovering Opioid Prescribing Patterns and the Mechanisms Underlying Substance Use Initiation and Addiction by Zhi Wang (Data scientist)

Assuming a reading speed of 250 words per minute. Learn more

Description

Substance use has been a public health concern in the U.S. In response to the opioid crisis, the implementation of both effective public health programs and behavioral interventions are needed. At the state level, prescription drug monitoring programs (PDMPs) grant prescribers access to patient prescription history aiming to reduce unnecessary opioid prescriptions. At the individual level, children who are exposed to substances at an early age are more likely to misuse other substances such as prescription opioids and develop addictions in their later life. Understanding the interplay of genetic risks, family environment, and early exposure to substances can inform personalized behavioral interventions. This dissertation consists of three studies: Study 1 comprehensively evaluated the effectiveness of PDMPs in reducing opioid-related potentially inappropriate prescribing (PIP) practices. Study 2 investigated the possible pathways from genetic risks (DRD4 alleles) to substance use behaviors through multiple chronological mediators. Study 3 study examined how family conflicts mediated the association between impulsivity and early exposure to substances among U.S. preteens as family environment plays an essential role in pre-adolescent development.

How long is Applications of Data Science Methods in Discovering Opioid Prescribing Patterns and the Mechanisms Underlying Substance Use Initiation and Addiction?

Applications of Data Science Methods in Discovering Opioid Prescribing Patterns and the Mechanisms Underlying Substance Use Initiation and Addiction by Zhi Wang (Data scientist) is 190 pages long, and a total of 47,500 words.

This makes it 64% the length of the average book. It also has 58% more words than the average book.

How Long Does it Take to Read Applications of Data Science Methods in Discovering Opioid Prescribing Patterns and the Mechanisms Underlying Substance Use Initiation and Addiction Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 19 minutes to read Applications of Data Science Methods in Discovering Opioid Prescribing Patterns and the Mechanisms Underlying Substance Use Initiation and Addiction aloud.

What Reading Level is Applications of Data Science Methods in Discovering Opioid Prescribing Patterns and the Mechanisms Underlying Substance Use Initiation and Addiction?

Applications of Data Science Methods in Discovering Opioid Prescribing Patterns and the Mechanisms Underlying Substance Use Initiation and Addiction is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Applications of Data Science Methods in Discovering Opioid Prescribing Patterns and the Mechanisms Underlying Substance Use Initiation and Addiction?

Applications of Data Science Methods in Discovering Opioid Prescribing Patterns and the Mechanisms Underlying Substance Use Initiation and Addiction by Zhi Wang (Data scientist) is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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