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Table 4 Logistic regression models exploring factors predicting analysis of differential effects

From: Equity effects of children’s physical activity interventions: a systematic scoping review

 

OR (95% confidence interval) of reporting differential effects by any equity characteristic (n = 113)

OR (95% confidence interval) of reporting differential effects by gender (n = 98)

Australasia vs all others

0.4 (0.1–2.1)

0.2 (0.0–1.8)

European vs all others

1.1 (0.2–5.8)

0.8 (0.1–5.1)

North American vs all others

0.4 (0.1–2.1)

0.2 (0.0–1.3)

PA only (1) or multi-behaviour intervention (0)

0.7 (0.3–1.5)

1.1 (0.5–2.4)

Home-based vs all others

0.6 (0.3–1.4)

0.6 (0.3–1.3)

School-based vs all others

2.9 (1.2–7.2)

4.5 (1.5–13.2)

Community based vs all others

0.9 (0.4–2.0)

0.8 (0.3–2.0)

Health-care based vs all others

Not enough variation to run

Not enough variation to run

Age (Child under 12 (0), Adolescent 13–18 (1))

1.4 (0.6–3.2)

1.6 (0.6–4.2)

Sample Size (Per increase in 100 participants)

1.2 (1.0–1.4)

1.2 (1.0–1.4)

Journal impact factor

1.1 (0.9–1.3)

1.1 (0.9–1.2)

Reported a main intervention effect on any outcome

2.5 (0.6–9.8)

Not enough variation to run

Reported a main intervention effect on objectively measured physical activity

3.0 (1.3–6.8)

3.6 (1.3–9.5)

  1. Significant findings are highlighted in bold