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. 2020 Jan 10;20:5. doi: 10.1186/s12874-019-0893-7

Table 1.

Distribution of sample in terms of demographic and socioeconomic variables of the SAYCARE general sample; and reliability and validity study samples

Children SAYCARE sample (Q1, N = 200) Reliability study sample (Q2, N = 55) Validity study sample (Accelerometry data, N = 93) P1 P2
% % %
Sex 0.150 0.746
 Male 47.8 60.0 50.0
 Female 52.2 40.0 50.0
Age < 0.001 0.033
 3–5 years 55.5 34.5 43.9
 6–10 years 44.5 65.5 56.1
Maternal education level 0.919 0.195
 Incomplete high school 20.9 15.6 13.6
 High school 13.3 12.5 20.4
 Technical education 10.8 12.5 4.5
 University degree 55.1 59.4 61.4
School type < 0.001 < 0.001
 Public 61.5 21.8 34.1
 Private 38.5 78.2 65.9
Adolescents SAYCARE sample (Q1, N = 215) Reliability study sample (Q2, N = 106) Validity study sample (Accelerometry data, N = 94) P1 P2
% % %
Sex
 Male 50.0 39.4 50.0 0.643 0.99
 Female 50.0 60.6 50.0
Age
 11–14 years 51.9 46.2 40.3 0.115 0.115
 15–18 years 48.1 53.8 59.6
Maternal education level
 Incomplete high school 15.6 15.8 11.6 0.019 0.020
 High school 23.4 23.7 16.3
 Technical education 15.6 15.8 4.6
 University degree 45.4 44.7 67.4
School type
 Public 30.8 36.8 29.7 < 0.001 0.847
 Private 69.2 63.2 70.3

Q1: Questionnaire first application; Q2: Questionnaire second application

P1: Proportion comparisons between Q1 and Q2 sample distributions

P2: Proportion comparisons between Q1 and participants with accelerometry data sample distributions

Significant values (p ≤ 0.05) are in bold