Table 7.
First author, year, reference | Population, design, time of collection, country | Age (years) | n | Diet collection method | Intake or frequency of consumption | Exposure variables (number of categories) | Association | Adjustments |
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Drouillet-Pinard (2017)(56) | INCA2 study, cross-sectional, 2006–2007, France | 11–17 | 881 | Record (7 d) | Stewed fruit/fruit in syrup, dairy desserts, cakes and pastries, confectionery, pizza and sandwich intakes (g/d) |
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Age, gender and energy intake |
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Finger (2015)(49) | KiGGs study, cross-sectional, 2003–2006, Germany | 11–17 | 6359 | FFQ | High or low energy-dense food intake (ratio of g/d intake divided by age- and sex-recommended amount) |
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|
Age, region, media use, total energy expenditure, familial leisure activity, BMI-for-age, perceived weight status and all SES variables |
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Grosso (2013)(50) | Secondary schools of Sicily, cross-sectional, 2010–2011, Italy | 13–16 | 1135 | FFQ | Intakes of fast foods, snacks and sweets (g/d) |
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|
Age, gender, BMI, physical activity, place of living and SES |
Harris (2015)(57) | GINIplus study, cohort at follow-up age 10 and 15 years, 2005–2008 and 2010–2013, Germany | 10–15 | 1232 | FFQ | Sugar-sweetened food intake: change v. tracking over time (% of energy intake) |
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|
Age at baseline, baseline energy intake, diet changes, study centre, study intervention arm, pubertal onset, BMI, screen time and all SES variables |
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Llull (2015)(58) | Balearic Islands, cross-sectional, 2007–2008, Spain | 12–17 | 1231 | FFQ | Sweets and pastries daily consumption |
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Gender and age |
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INCA2, second French national cross-sectional dietary survey; KiGGs, German Health Interview and Examination Survey for Children and Adolescents; occup., occupation; educ., education; SES, socio-economic status.
Details on risk of bias assessment are not presented since only studies of good quality are tabulated.