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Table 1 Characteristics of studies included in the systematic review (n = 17)

From: A systematic review of the clustering and correlates of physical activity and sedentary behavior among boys and girls

First author (publication year)

Country

Original project

Sample size (girls %)

Age group (mean age)

Method used to derive clusters

Number of clusters

Correlates associated with clusters

De Bourdeaudhuij (2013) [34]

European countriesa

ENERGY

766 (52.9%)

10 – 12 years (11.5 girls /11.7 boys)

Two step cluster analysis (hierarchical and non-hierarchical methods)

Boys 4 Girls 4

BMI and waist circumference

Gorely (2007) [15]

UKb

STIL

1,371 (62.0%)

Mean 14.7 years (sd = 0.92, range 12.5–17.6 years)

Cluster analysis (Ward’s method and k-means)

Boys 5 Girls 5

None

Huang (2016) [17]

Chinac

Not reported

951 (50.5%)

9 – 13 years (11.0)

Cluster analysis (hierarchical)

Boys 5 Girls 5

Sociodemographic factors and sports team participation

Kim (2016) [26]

USA

YRBS

12,081 (49.4%)

9th – 12th grades (adolescents)

Latent class analysis

Boys 4 Girls 4

Obesity

Lazarou (2009) [35]

Cyprus

CYKIDS

1,140 (53.4%)

10 – 13 years (10.7)

Principal component analysis

8

None

Marshall (2002) [36]

USA and UK

Not reported

USA: 1,750 (59.0%) UK: 744 (85.0%)

USA: mean 12.9 years (sd = 0.92) UK: mean 13.0 years (sd = 0.94)

Cluster analysis

Boys 3 Girls 3

Age, nationality, ethnicity, and BMI

Melkevik (2011) [25]

Norway

HBSC

4,848 (48.0%)

13, 15, and 16 years

Latent profile analysis

Boys 6 Girls 6

Overweight

Nelson (2005) [37]

USA

Add Health

1,1957 (50.0%)

Mean age (wave I) 14.9 years (sd = 0.12)

Cluster analysis*

7

Meet PA guidelines

Nelson (2006) [23]

USA

Add Health

1,1957 (50.0%)

Mean age (wave II) 15.8 years (sd = 11.6)

Cluster analysis*

7

Health risk behaviors and other weekly activities, and self-esteem

O'Neill (2017) [38]

Ireland

GUI

8,568 (48.9%)

9 – 13 years

Two step cluster analysis

Boys 4 Girls (no coherent cluster type found)

Weight status

Patnode (2011) [24]

USA

IDEA and ECHO

720 (51.1%)

Mean age 14.7 years (sd = 1.8)

Latent class analysis

Boys 3 Girls 3

Grade, race, parent education, live with 2 parents, overweight, weight status, free or reduced-price lunch

Ramos (2012) [39]

Spain

HBSC

21,811 (53.1%)

11 – 18 years

Cluster analysis (general linear models)

3

Biopsychosocial health

Spengler (2015) [16]

Germany

MoMo

2,083 (50.5%)

11 – 13 years 14 – 17 years

Cluster K-means

Boys 8 Girls 7

Age and socioeconomic status

Taverno Ross (2016) [40]

USA

TRACK

495 (55.4%)

5th (baseline) and 7th grades (children)

Latent class analysis

Boys 3 Girls 3

Socio-demographics, Individual-level factors and Interpersonal-level factors; School-level factors#

te Velde (2007) [13]

European countriesd

CSS

12,538 (50.1%)

8.8 – 13.8 years (11.4)

Cluster K-means

Boys 5 Girls 5

Overweight

Wang (2006) [41]

Singapore

Not reported

780 (61.8%)

11 – 14 years

Cluster analysis (hierarchical methods)

Boys 3 Girls 3

None

Wang (2012) [42]

Singapore

Not reported

847 (61.0%)

10 – 16 years

Latent profile analysis

5

None

  1. USA United States, UK United Kingdom, ENERGY European energy balance research to prevent excessive weight Gain among youth, NHANES National health and nutrition examination survey, STIL Project sedentary teenagers and inactive lifestyles, YRBS Youth risk behavior survey, CYKIDS Cyprus kids study, HBSC Health behavior in school-aged children, Add Health National longitudinal study of adolescent health, GUI Growing up in Ireland, IDEA Eating and activity in adolescents, ECHO Etiology of childhood obesity, MoMo Motorik-modul study, TRACK Transitions and activity changes in kids, BMI Body mass index, BMI Body mass index
  2. a Belgium, Greece, Hungary, the Netherlands, and Switzerland
  3. b England, Northern Ireland, Scotland, and Wales
  4. c Hong Kong Island, Kowloon, and the New Territories in Hong Kong
  5. d Austria, Belgium, Denmark, Iceland, the Netherlands, Norway, Portugal, Spain, and Sweden
  6. *Did not specify which cluster analysis
  7. # race, Parent education, SES, Weight status, Self-efficacy, enjoyment, Perceived PA barriers, Perceived parent support for PA, Parent support for PA, Sports/physically active lessons in past year, Screen devices in bedroom, Home PA equipment, Neighborhood safety