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Table 3 Complex samples logistic regression and CSGLMa: associations between food, physical activity and media home environments and corresponding diet, physical activity and screen-based sedentary behaviours (n = 298)

From: The Home Environment Interview and associations with energy balance behaviours and body weight in school-aged children – a feasibility, reliability, and validity study

  Home food environment
Outcome variables N (%) OR (95%CI)1 P value
Dietary intake behaviours
 Fruit (≥twice per day) 173 (58.1%) 0.89 (0.84–0.96) <.001
 Vegetables (≥twice per day) 239 (80.2%) 0.88 (0.83–0.93) <.001
 Energy-dense snacks (≥once per day) 224 (75.2%) 1.13 (1.05–1.21) <.001
 Fast food intake (≥once per week) 59 (19.8%) 1.15 (1.07–1.23) <.001
 Convenience food (≥twice per week) 106 (35.6%) 1.11 (1.05–1.17) .001
 Sugar Sweetened Beverages (≥once per day) 25 (8.4%) 1.03 (0.97–1.10) .334
 Artificially-sweetened beverages (≥once per day) 97 (32.6%) 1.05 (0.99–1.10) .084
 Fruit juice (≥once per day) 125 (41.9%) 0.98 (0.94–1.03) .508
 Milk (≥twice per day) 85 (28.6%) 1.00 (0.95–1.06) .995
Activity behaviours Home physical activity environment
 Physical activity (more active) 177 (59.4%) 0.89 (0.78–1.03) .130
Screen-based sedentary behavioursb Home media environment
Mean (SD) B (±SE) R2 P value
 TV viewing and online media (hours/ week) 16.73 (9.70) 1.85 (±0.24) .276 <.001
 Video games (hours/ week) 6.91 (6.82) 0.61 (±0.14) .344 <.001
  1. OR Odds Ratio, 95% CI 95% confidence interval
  2. aAdjusting for clustering within families (complex samples analyses), the child’s age at time of home environment interview, child sex
  3. bScreen-based sedentary behaviours were treated as a continuous variable as there are no specific guidelines for duration of screen-time and video game use in this age group (Hill et al., 2016)