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Table 4 Complex samples logistic regression and CSGLMa: associations between overall home environment composite 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

Dietary intake behaviours

Home environment composite

N (%)

OR (95%CI)1

P value

 Fruit (≥twice per day)

173 (58.1%)

0.40 (0.26–0.61)

<.001

 Vegetables (≥twice per day)

239 (80.2%)

0.30 (0.18–0.52)

<.001

 Energy-dense snacks (≥once per day)

224 (75.2%)

1.71 (1.08–2.69)

.022

 Fast food intake (≥once per week)

59 (19.8%)

3.09 (1.90–5.04)

<.001

 Convenience food (≥twice per week)

106 (35.6%)

2.58 (1.64–4.05)

<.001

 Sugar Sweetened Beverages (≥once per day)

25 (8.4%)

1.61 (0.92–2.82)

.097

 Artificially-sweetened beverages (≥once per day)

97 (32.6%)

1.54 (1.03–2.29)

.034

 Fruit juice (≥once per day)

125 (41.9%)

0.93 (0.66–1.31)

.678

 Milk (≥twice per day)

85 (28.6%)

1.36 (0.97–1.93)

.076

Activity behaviours

N (%)

OR (95% CI)

 

 Physical activity (more active)

177 (59.4%)

0.57 (0.40–0.80)

.002

Screen-based sedentary behavioursb

Mean (SD)

Β (±SE)

R2

 

 TV viewing and screen time (hours/ week)

16.73 (9.70)

4.55 (±.78)

.175

<.001

 Video game use (hours/week)

6.91 (6.82)

1.56 (±.43)

.325

<.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. bSedentary 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 [30]