Table 2.
Summary of cross-sectional associations between food, physical activity and media domains and child adiposity outcomes (n = 58a)
Constructs assessed | N (%) studies examining construct | Association with child adiposity outcome | ||
---|---|---|---|---|
Positive association | Negative association | Null association | ||
Media domain | ||||
Greater availability & access to electronic devices | 29 | 21 | 0 | 8 |
Caregiver rules/ limits around media | 16 | 2 | 5 | 9 |
Caregiver modelling of media use | 5 | 2 | 0 | 3 |
Food domain | ||||
Greater availability & access to EDF | 12 | 3 | 1 | 8 |
Greater availability & access to F&V | 11 | 1 | 2 | 8 |
Caregiver modelling of eating | 10 | 1 | 3 | 6 |
Caregiver rules/ limits around unhealthy eating | 3 | 0 | 0 | 3 |
Physical activity domain | ||||
Greater availability of & access to PA | 7 | 1 | 2 | 4 |
Caregiver modelling & support of PA | 13 | 0 | 4b | 9b |
Abbreviations: EDF Energy dense foods, F&V Fruit and vegetables, PA physical activity
aFour studies [73, 74, 78, 82] are omitted from this table as it was not possible to summarise the findings of studies that created composite scores across two or three domains of the HE. Details of these studies can be found in Table 1
bOne study [59] examining caregiver modelling of PA reported different findings by the type of activity modelled: Modelling of commuting to school/work by bike or walking was associated with lower BMI Z-score (r = − 0.062) but modelling of vigorous PA was not associated with BMI z-score or waist circumference