 |
Life Course Trajectories of Alcohol and Marijuana Problems: Effect of Family History and Arousal Needs
| | Unformatted Document Text:
2
although a slightly higher proportion of persons in the sample were white (89%),compared to the state census (83%; US Bureau of the Census, 1981). Based onnationally representative samples, patterns of substance use were comparable betweenthe HHDP respondents and same-age peers living in the Northeastern part of theUnited States at that time (Johnston et al., 2000a,b; Substance Abuse and MentalHealth Services Administration, 1996).
Design
The table below depicts the study design.
Design of the Rutgers Health and Human Development Project_____________________________________________________________________Longitudinal Sequence
Age at Each Test Time
(Birth Year)
T1
T2
T3
T4
T5
_____________________________________________________________________I.
Youngest Cohort
12
15
18
25
31
(1967,1968,1969)
II.
Middle Cohort
15
18
21
28
(1964,1965,1966)
III.
Oldest Cohort
18
21
24
31
(1961,1962,1963)
_____________________________________________________________________
Data collection
All participants were re-interviewed at three points over a 13-year period. Time 2
(T2) and Time 3 (T3) interviews occurred at three-year intervals, followed by a seven-year interval for Time 4 (T4). The longitudinal retention rate between Time 1 (T1) andT4 was 91%. Only the youngest respondents (age 12 at T1) were re-interviewed in1999-2000 at Time 5 (T5) when they were 30-31 years old. More detail regardingrecruitment, sample and design is available elsewhere (Pandina et al., 1984). With theexception that men were marginally more likely to be lost to follow-up than women,there were no significant differences between respondents who did not provide data atall time points and those with complete data for the variables used in the analyses.
The data in this study come from self-report questionnaires, which have been
shown to be valid indicators of alcohol use in non-clinical samples (e.g., Harrison et al.,1998; 1985; Smith et al., 1995). Trained interviewers supervised all aspects associatedwith data collection.
|
|
| |
|
|
2
although a slightly higher proportion of persons in the sample were white (89%),
compared to the state census (83%; US Bureau of the Census, 1981). Based on
nationally representative samples, patterns of substance use were comparable between
the HHDP respondents and same-age peers living in the Northeastern part of the
United States at that time (Johnston et al., 2000a,b; Substance Abuse and Mental
Health Services Administration, 1996).
Design
The table below depicts the study design.
Design of the Rutgers Health and Human Development Project
_____________________________________________________________________
Longitudinal Sequence
Age at Each Test Time
(Birth Year)
T1
T2
T3
T4
T5
_____________________________________________________________________
I.
Youngest Cohort
12
15
18
25
31
(1967,1968,1969)
II.
Middle Cohort
15
18
21
28
(1964,1965,1966)
III.
Oldest Cohort
18
21
24
31
(1961,1962,1963)
_____________________________________________________________________
Data collection
All participants were re-interviewed at three points over a 13-year period. Time 2
(T2) and Time 3 (T3) interviews occurred at three-year intervals, followed by a seven-
year interval for Time 4 (T4). The longitudinal retention rate between Time 1 (T1) and
T4 was 91%. Only the youngest respondents (age 12 at T1) were re-interviewed in
1999-2000 at Time 5 (T5) when they were 30-31 years old. More detail regarding
recruitment, sample and design is available elsewhere (Pandina et al., 1984). With the
exception that men were marginally more likely to be lost to follow-up than women,
there were no significant differences between respondents who did not provide data at
all time points and those with complete data for the variables used in the analyses.
The data in this study come from self-report questionnaires, which have been
shown to be valid indicators of alcohol use in non-clinical samples (e.g., Harrison et al.,
1998; 1985; Smith et al., 1995). Trained interviewers supervised all aspects associated
with data collection.
|
|
 Convention | | Submission, Review, and Scheduling! All Academic Convention can help with all of your abstract management needs and many more. Contact us today for a quote! | | Submission - Custom fields, multiple submission types, tracks, audio visual, multiple upload formats, automatic conversion to pdf. | | Review - Peer Review, Bulk reviewer assignment, bulk emails, ranking, z-score statistics, and multiple worksheets! | | Reports - Many standard and custom reports generated while you wait. Print programs with participant indexes, event grids, and more! | | Scheduling - Flexible and convenient grid scheduling within rooms and buildings. Conflict checking and advanced filtering. | | Communication - Bulk email tools to help your administrators send reminders and responses. Use form letters, a message center, and much more! | | Management - Search tools, duplicate people management, editing tools, submission transfers, many tools to manage a variety of conference management headaches! | | Click here for more information. |
|
|
|
| |
|
|
|
