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Is generalized anxiety associated with alcohol consumption in adults?

This blog is an example on how a regression model problem is set up. These general steps help describe data management steps to others coherently.

Sample

The sample is from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), that is designed to determine the magnitude of alcohol use and psychiatric disorders in the U.S. population. With participants (N=43,093) from various ethnic backgrounds to various statuses of living. Moreover, its oversampling of Blacks and Hispanics as well as the inclusion of Hawaii and Alaska in its sampling frame yielded enough minority respondents to make NESARC an ideal vehicle for addressing the critical issue of race and/or ethnic disparities in comorbidity and access to health care services. This study includes data analytic sample of participants 18+ years old who drank atleast 1 alcohol drink in the span of one year. (N=1843)

Procedure

Data were collected in face-to-face, computer-assisted personal interviews conducted in respondents’ homes. The NESARC response rate was 81 percent. Respondents who consented to participate after receiving this information were interviewed. The unprecedented sample size of NESARC (n = 43,093) made it possible to achieve stable estimates of even rare conditions. Moreover, its oversampling of Blacks and Hispanics as well as the inclusion of Hawaii and Alaska in its sampling frame yielded enough minority respondents to make NESARC an ideal vehicle for addressing the critical issue of race and/or ethnic disparities in comorbidity and access to health care services. The research protocol, including informed-consent procedures, received full ethical review and approval from the U.S. Census Bureau and the U.S. Office of Management and Budget.

Measures

Generalized Anxiety (i.e those experienced in past 12 months and prior to the past 12 months) was assessed. NESARC’s diagnostic classifications were based on the Alcohol Use Disorder and Associated Disability Interview Schedule–DSM–IV Version (AUDADIS– IV), a state-of-the-art, semi structured diagnostic interview schedule designed for use by lay interviewers. The reliability and validity of this instrument have been documented in a wide range of international settings, using both general population and clinical samples. In the current study, the alcohol consumption status was evaluated through both drinking quantity and drinking frequency coded dichotomously to represent presence and absence of alcohol abuse/dependence. Where drinking quantity denotes number of drinks consumed at a single sitting and drinking frequency denotes number of days an individual has consumed alcohol. The quantitative variable in this case was number of drinks ranging from 1 to 98 drinks.

In summary

Explanatory Variable: Drinking frequency (Quantitative)

Drinking quantity (Quantitative) with alcohol abuse/dependence (Categorical)

Response Variable:

Generalized Anxiety (Categorical)

Data Used:

#Data Analysis Regression Modeling #regression modeling

Add Health/ wk1 Regression modeling

Sample:

This sample is from The National Longitudinal Study of Adolescent to Adult Health (Add Health).

This is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the US during the 1994-95 school year. The group was further followed into young adulthood, the most recent into 2008 when the sample was aged 24-32.

Ethnic: The numbers of respondents in these samples:

1,038 blacks from well-educated families (with a parent with a college degree)

334 Chinese

450 Cuban

437 Puerto Rican

In addition, the main sample contains more than 1,500 Mexican-Americans and significant numbers of Nicaraguans, Japanese, South Koreans, Filipinos, and Vietnamese.

Add Health combines longitudinal survey data on respondents' social, economic, psychological, and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships.

Add Health data include group of participants in the categories:

- approximately 90,000 students in grades 7 through 12, adolescents (18 to 26 years old),

and respondents 24 to 32 years old. There are variety of variables, categories and studies. I have chosen this one: Overweight.

Most of the respondents- 3381 are about the right weight and 1808 are slightly overweight.

238 number of people are very overweight. Nearly quarter into half of them does not train( 1607 who not marked excersise vs 2851 respondents who do the exercise for losing weight).

Procedure:

Add Health Waves data collection took place in 1994/1995, and included both an in-school questionnaire and in-home interview. Based on self-reported data from the In-School Questionnaire, four supplementary ethnic-group samples were drawn.

The in-school questionnaire was administered to more than 90,000 students in grades 7 through 12, and gathered information on social and demographic characteristics of adolescent respondents, education and occupation of parents, household structure, expectations for the future, etc.

Then Add Health data collection recommenced in1996, and included almost 15,000 follow-up in-home interviews with a group of adolescents.

In 2001/2002, data were collected through in-home interviews with 15,170 respondents (now 18 to 26 years old), as well as interviews with their partners.

Another in-home interviews were conducted in 2008 and 2009 when the original the respondents were 24 to 32 years old.

All necessary is in this link: http://www.icpsr.umich.edu

Measures:

Exercise activities, diet and overweight was assessed in the National Longitudinal Study of Adolescent to Adult Health (Add Health), 1994-2008 [Public Use] and gives us a variety of pattern s for daily activities, overivews for weight, etc. and additional stats.

That was conducted or funded by United States Department of Health and Human Services, National Institutes of Health, and many other great institutions.

Our focus of interest is a group of people in terms of weight:

Current overview of weight is gained through: frequency of excercise or diet ( During the past seven days, which of the following things did you do in order to lose weight or to keep from gaining weight? ), or the exact question for losing weight ( Are you trying to lose weight, gain weight, or stay the same weight? ) and many more if we need.

Entire datasets and all the files with pdf-s are publically available here:

http://www.icpsr.umich.edu/icpsrweb/DSDR/studies/21600#bibcite

#Regression modeling #SAS