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. 2024 Mar 19;26:e51108. doi: 10.2196/51108

Table 2.

Differences in intervention and control groups over time for primary and secondary outcomesa.


Intervention Control Intervention versus controla

Baseline (n=656), mean (SD) 15-Month follow-up (n=334), mean (SD) Baseline (n=675), mean (SD) 15-Month follow-up (n=397), mean (SD) Main analysis (15-month versus baseline)





Group by time differential effect (95% CI) P value
Primary outcomes

Percentage per student of lunch items that are “everyday” 44.3 (34.3) 51.0 (34.0) 43.2 (36.3) 39.4 (36.0) 11.5 (7.3 to 15.6) <.001b

Percentage per student of lunch items that are “occasional” 30.7 (30.8) 30.4 (29.7) 40.9 (35.7) 45.7 (37.7) –5.4 (–9.4 to –1.5) .007b

Percentage per student of lunch items that are “should not be sold” 25.0 (30.9) 18.6 (28.3) 16.0 (24.7) 15.0 (23.2) –6.0 (–9.1 to –2.9) <.001b
Secondary outcomes

Energy (kJ) per student lunch order 2172.5 (976.9) 2211.7 (922.3) 1992.8 (793.1) 1943.4 (796.6) 48.8 (–34.6 to 132.2) .25

Saturated fat (g) per student lunch order 7.3 (5.7) 7.0 (5.0) 5.7 (4.4) 5.5 (4.4) –0.0 (–0.5 to 0.5) .99

Sugar (g) per student lunch order 22.4 (22.8) 22.5 (21.0) 15.3 (16.2) 12.8 (15.0) 1.7 (–0.1 to 3.5) .07

Sodium (mg) per student lunch order 778.9 (354.1) 795.9 (368.8) 808.3 (398.2) 789.3 (384.1) 0.35 (–36.2 to 36.9) .99

Weekly revenue (Aus $)c per school 896.1 (449.9) 1243.8 (485.9) 769.6 (372.8) 1798.5 (653.9) –673.4 (–1252.6 to –94.2) .03b

aAll models included a random intercept for school, a nested random intercept and random time effect for students, and fixed effects for the school sector and Socio-Economic Indexes for Australia. All available data were incorporated into the model (baseline, 2-months, and 15-months) to describe purchasing patterns over time.

bP<.05.

cAll $ amounts are in Aus $. A currency exchange rate of Aus $1 = US $0.65 was applicable as of February 2024.