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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)