Authors

Country & Setting

Study design

Sampling technique & sample size

Method of analysis

Arillo-santillan E et al. 2005 [2]

Mexico,

Public schools

from 98 - 99

Cross-sectional 1998-99

systematic random sampling

5825 boys

7468 girls

Multinominal model,

Multivariate logistic regression

stratified by school levels, Multilevel model

Bidstrup PE et al. 2008 [15]

Denmark,

118 Public schools

230 classes, 2 classes per school with 13 pupils per class

Cross-sectional 2004

Random sampling of schools (Data derived from Danish national institute of Public health in 2008)

1426 boys

1487 girls

Multilevel logistic regression

Bird Yet al. 2006 [9]

Juancz, Mexico,

6 Public & private schools. Data Collection year was not mentioned.

Cross-sectional study

Random sampling stratified by SES to select schools. All 6th grade students were selected

242 boys

264 girls

Multiple logistic regression by SES, school setting & gender

Bird Y et al. 2007

[16]

Ciudad Juarez, Mexico,6 Public & private schools in 2000

Cross-sectional study

Random sampling stratified by SES to select schools. All 6th grade students were selected

242 boys

264 girls

Chi-squared test, ANOVA and logistic regression

Bond L et al. 2007 [17]

Victoria, Australia,

26 Secondary schools.

Year of data collection not mentioned.

Longitudinal study

Data derived from Gatehouse project

1124 boys

1276 girls

Prevalence estimates, & Logistic regression using robust” “information sandwich” estimates of standard errors to account for clustering within schools.

Carson NJ et al. 2005 [18]

Northern Virginia Philadelphia, USA, 5 Public high schools.

Year of data collection not mentioned

Cross-sectional

Data derived from another Longitudinal study of behavioural predictors of smoking.

967 adolescents

SEM, EFA, CFA, model fit assessed

Chang F et al. 2006 [19]

Taipei, Taiwan,

16 Vocational high schools

39 classes from 2000-2002

Longitudinal study 3 years

Probability proportionate to size systematic random sampling to draw schools and classes. All 10th grade students selected

1695 boys and girls

GEE

Cleveland MJ et al. 2008 [20]

Pennsylvania, USA,

180 Public & private schools.

from 2005 Pennsylvania Youth survey

Cross-sectional.

Random sampling stratified by 6 regions 91,778 boys and girls

Generalized linear mixed models, cumulative logit models (proportional odds model)

Conti DV et al. 2006

[21]

China,

62 Middle schools

83 Upper schools from Oct 2002-Dec 03

Longitudinal study

Multistage cluster sampling stratified by school type

5042 boys

5606 girls

Multilevel random coefficient modeling

Damianaki A et al. 2008 [22]

Semi urban area in Crete, Greece, 15 Public schools from 2004-05

Cross-sectional

Random sampling stratified by rural/urban status to select schools and students

386 boys

507 girls

Stepwise logistic regression, Mann-Whitney, t-test

Difranza JR et al. 2008 [23]

Urban and suburban region in central Massachusetts, USA, 2 Schools in 2007

Cross-sectional

Convenience sampling 1055 boys and girls

2-tailed Kendall’s tau b test for correlations

Ditre JW et al. 2008 [24]

Florida, USA, 3 High schools in 1999

Cross-sectional

Convenience sampling 363 boys

394 girls

Mann-Whitney test, Kruskal Wallis, ANCOVA