Journal of Environmental and Public Health / 2021 / Article / Tab 1

Research Article

Factors Predicting Physical Activity and Sports Participation in Adolescence

Table 1

Continuous and categorical outcome variables and predictors used in the analysis with Cronbach’s alpha, mean value, standard deviation, and maximum variability. The items for these constructs are shown in the appendix.

Continuous variables: outcome and predictorsResponse options (Likert scale)Valid response (%)Cronbach’s alpha for the mean scoreMean (SD)Range

Physical activity at T17 (1–7)11830.704.34 (1.5)0–7
Attitude towards physical education T05 (1–5)12190.893.75 (0.85)1–5
Parent support T05 (1–5)12000.844.57 (0.57)1–5
Peer support T05 (1–5)12030.774.15 (0.62)1–5
Duration of active transportation to school1200 (97.9)
Passive transport509 (51)
Active up to five minutes179 (18)
Active six to fifteen minutes256 (25)
Active sixteen to thirty minutes57 (6)
Active thirty-one to sixty minutes5 (0.5)
Socioeconomic status1181 (96.4)3.85 (0.66)
Categorical outcome and predictorsN (%)
Persistent and started doing sports during two years710 (58)
Abstaining or quitting sports during two years515 (42)
Nonsports activities at T0
No other activities579 (47)
One nonsports activity420 (34)
Two nonsports activities162 (13)
Three or more nonsports activities64 (5.2)
Self-rated health, poor117 (9.6)
Self-rated health, good677 (55.3)
Self-rated health, best412 (33.6)
Body dissatisfaction, too thick314 (25.6)
Body dissatisfaction, too thin137 (11.2)
Body dissatisfaction, normal/do not think about it734 (59.9)

The answers ranged from one (low family finances) to five (very good family finances).