Adolescent alcohol use: use of social network analysis and cross-classified multilevel modeling to examine peer group, school, and neighborhood-level influences

Kathryn M. Barkera Department of Medicine, University of California San Diego, La Jolla, CA, USACorrespondence[email protected]

https://orcid.org/0000-0002-6242-0217 View further author information

Sandra Brownb Department of Psychology, University of California San Diego, La Jolla, CA, USAView further author information

Eileen V. Pitpitana Department of Medicine, University of California San Diego, La Jolla, CA, USA;c School of Social Work, San Diego State University, San Diego, CA, USAView further author information

Holly Baker Shakyaa Department of Medicine, University of California San Diego, La Jolla, CA, USAView further author information

Anita Rajd Newcomb Institute, Tulane University, New Orleans, LA;e Tulane School of Public Health and Hygiene, New Orleans, LAView further author information

Figures & data

Figure 1. Past year alcohol use increases incrementally during adolescents (12 to 18 years).^a.

Source: ^aRespondents aged ≤11 and ≥19 years are not included due to small sample size (n = 2 and n = 298, respectively).

Figure 2. Past year alcohol use by sex, showing similar trajectories by age between male and female adolescents.^a.

Source: ^aRespondents aged ≤11 years and ≥19 years are not included due to small sample size (n = 2 and n = 298, respectively).

Table 1. Multilevel data structure of Add Health: adolescents situated within peer groups, schools, and neighborhoods.

Download CSV Display Table

Table 2. Adolescent characteristics.

Download CSV Display Table

Table 3. Adolescent alcohol use. Random effects results from null two-level hierarchical multilevel models (MLM) (Models 1–3); Null two-way (Models 4–6) and three-way (Model 7) cross-classified multilevel models (CCMM).

Download CSV Display Table

Table 4. Adolescent alcohol use. Random effects results from final, fully adjusted three-way cross-classified multilevel model (CCMM), with the full sample (Model 8) ^a, and sex-disaggregated models (males: Model 9; females; Model 10).^b.

Download CSV Display Table

Adolescent alcohol use: use of social network analysis and cross-classified multilevel modeling to examine peer group, school, and neighborhood-level influences

Table 1. Multilevel data structure of Add Health: adolescents situated within peer groups, schools, and neighborhoods.

Table 2. Adolescent characteristics.

Table 3. Adolescent alcohol use. Random effects results from null two-level hierarchical multilevel models (MLM) (Models 1–3); Null two-way (Models 4–6) and three-way (Model 7) cross-classified multilevel models (CCMM).

Table 4. Adolescent alcohol use. Random effects results from final, fully adjusted three-way cross-classified multilevel model (CCMM), with the full sample (Model 8) ^a, and sex-disaggregated models (males: Model 9; females; Model 10).^b.

Information for

Open access

Opportunities

Help and information

Your download is now in progress and you may close this window

Login or register to access this feature

Adolescent alcohol use: use of social network analysis and cross-classified multilevel modeling to examine peer group, school, and neighborhood-level influences

Figures & data

Table 1. Multilevel data structure of Add Health: adolescents situated within peer groups, schools, and neighborhoods.

Table 2. Adolescent characteristics.

Table 3. Adolescent alcohol use. Random effects results from null two-level hierarchical multilevel models (MLM) (Models 1–3); Null two-way (Models 4–6) and three-way (Model 7) cross-classified multilevel models (CCMM).

Table 4. Adolescent alcohol use. Random effects results from final, fully adjusted three-way cross-classified multilevel model (CCMM), with the full sample (Model 8) a, and sex-disaggregated models (males: Model 9; females; Model 10).b.

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date

Table 4. Adolescent alcohol use. Random effects results from final, fully adjusted three-way cross-classified multilevel model (CCMM), with the full sample (Model 8) ^a, and sex-disaggregated models (males: Model 9; females; Model 10).^b.