Interpreting Research Studies: First read the brief “Interpreting Research Studies” by the Guttmacher Institute and the article “Eight questions to ask when interpreting academic studies: A primer for...

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Answer To: Interpreting Research Studies: First read the brief “Interpreting Research Studies” by the...

Monali answered on Dec 15 2021
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Interpreting Research Studies
Interpreting
Research
Studies
A guide to emerging disparities in in vulnerable population with increasing cigarette use among people with illicit substance use
1
Introduction
Research paper by Society for the study of Addiction (SSA) titled as Cigarette use is increasing among people with illicit substance use disorders in United States(U.S.), 2002-2014:emerging disparities in vulnerable pop
ulation.
Analyzing the data
The Abstract
Research background:
In environment of decreased cigarette smoking, likewise decline among individual with substance use disorder (SUD) is U.S. is unknow. Smoking trends among individual with and without SUDs is estimated in research from 2002-2014 data.
Purpose of research to access changes in prevalence of current cigarette smoking over time among people with SUDs compared to those without SUDs in the United States (U.S.).
Following slides probes into few questions….
Analyzing the data – The Abstract
What makes the study Important? Smoking is chief cause death in the world. Death can be preventable in one group, namely smoker people with illicit substance abuse, in U.S. Past research data indicates 3.9% U.S. adult meeting SUD criteria and 9.9% meeting lifetime SUD criteria. Range of smoking prevalence range being from high smoking among SUD till increase difficulties in quite smoking. Among illicit drug, Cannabis is most widely used globally with Cannabis use disorders (CUD) most prevalence in SUD. Relaxation of legislation, in this context, has lead to increase in number of concerns.
Who conducted the research and wrote the report? Who published the report? Society for the Study of Addiction (SSA) published this research in addition 113, 719-728 written by group of eminent researchers.
What are the researchers’ (null & alternative) hypotheses?
1st Null hypothesis: The first aim of the study was to estimate cigarette smoking prevalence among with and without SUDs unadjusted and after adjusting for demographics using recent data (2014). Null hypothesis to assess whether prevalence of smoking differs in with CUDs vs. other SUDs. Smoking prevalence was estimated separately for groups of all SUDs (with CUDs included), SUDs excluding CUDs and CUDs which was compared to those without respective disorders.
2nd Null hypothesis: The second aim of was to estimate changing trend in prevalence of cigarette smoking from 2002 to 2014. Difference groups to access changes are with all SUDs, SUDs excluding CUDs and CUDs compared to without disorders.
Analyzing the data
The Process
The process with design model, data selection, measurement criteria and appropriate sample is being used to analyze linear relationship between dependent variable and independent variable.
The process is based on time period selected for research.
Following slides points on above points…..
Analyzing the data – The Process
Did the researcher select an appropriate group for study? Research based on data of SUD with and after split from CUB was desirable. Data extracted from public data portal (http://www.icpsr.umich.edu/) years 2002 to 2014 by The National Survey on Drug Use and Health (NSDUH) who uses cross-sectional data in multi-stage representative probability samples of US used. Multi-stage sampling is done by dividing population in to clusters (groups) and cluster is chosen at random from which everyone is chosen as sample. This makes the research suitable for accessing different groups.
If comparison groups are used, how similar are they? Survey for each year was link together with data sets from each year. Data included both gender, civilian non-institutionalized individual, aged range 12 years & older, geography coverage from 50 states each & District of Columbia. Non-institutional sample makes sampling diverse as people from 50 states and District of Columbia included. This way characterization of demographic variables of age, geography, gender, race, income band and marital status was included. Further these demographic covariates used to create adjusted and un-adjusted data.
Analyzing the data – The Process
Are the methods appropriate to the research purpose? (a) Assessment of Linear time Trend to find a linear relationship. Use of Logistic regression model is ideal for binary data....
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