Journal of Environmental and Public Health / 2021 / Article / Tab 4

Research Article

Factors Predicting Physical Activity and Sports Participation in Adolescence

Table 4

Logistic regression analyses, unadjusted and adjusted for gender, age, and socioeconomic status, and full model analysis with the outcome variable persistent and started doing sports.

VariableUnadjusted, odds ratios, 95% CIs and valuesAdjusted, odds ratios, 95% CIs and valuesFull model, odds ratios, 95% CIs and values
ORCIORCIORCI

Gender0.97(0.77; 1.22)0.821.07(0.83; 1.39)0.61
Age0.55(0.43; 0.7)0.0010.58(0.45; 0.76)0.001
Socioeconomic status1.39(1.17; 1.66)0.0011.24(1.02; 1.51)0.03
Peer support T01.41(1.17; 1.7)0.0011.29(1.06; 1.57)0.0121.09(0.88; 1.36)0.43
Parent support T01.44(1.18; 1.76)0.0011.33(1.08; 1.65)0.0081.14(0.9; 1.44)0.28
Attitudes towards gymnastics T01.33(1.16; 1.52)0.0011.24(1.08; 1.43)0.0031.09(0.93; 1.28)0.29
Duration of active transport to school1.06(0.96; 1.18)0.251.05(0.94; 1.17)0.39
Change to other nonsports activities during the 2 years0.85(0.75; 0.97)0.0140.85(0.75; 0.98)0.020.86(0.75; 0.99)0.03
SRH good2.1(1.4; 3.15)0.0011.96(1.3; 2.98)0.0011.63(1.05; 2.54)0.03
SRH best3.91(2.54; 6.01)0.0013.27(2.1; 5.11)0.0012.48(1.51; 4.06)0.001
Body image: too thick T00.57(0.44; 0.75)0.0010.64(0.48; 0.84)0.0020.78(0.57; 1.06)0.11
Body image: too thin T00.89(0.62; 1.29)0.550.84(0.57; 1.23)0.37
Explained variance0.09

Adjusted for age, gender, and SES.