Bogaert 2003.
Methods |
Study design: prospective cohort study. Analyses methods for cohorts: multiple regression analyses used to test relation between variables, and partial correlations used to adjust for confounding variables. How were missing data handled? Attrition at 1 year: 31% (reasons not stated). No significant differences in baseline variables observed between children who attended for follow‐up and children who did not. Number of study contacts: 3 (baseline, 6 and 12 months). Period of follow‐up (total period of observation): 1 year. Periods of recruitment: NR. Sample size justification adequately described? No. Sampling method: convenience. Recruitment was done through local advertising. Study objective: to identify, prospectively, whether simply measured indicators of energy intake and expenditure might predict excessive weight gain over time in a cohort of prepubescent children. Study population: prepubertal children aged 6‐9 years in Australia. |
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Participants |
Baseline characteristics (reported for 1 overall group)
Included criteria: children aged 6‐9 years, who had ≥ 1 biological parent agreeable to participate and the family commitment to continued follow‐up for ≥ 12 months. Excluded criteria: NR. Pretreatment: NA. Brief description of participants: children aged 6‐9 years living in New South Wales, Australia. Total number completed in cohort study: at 12 months: 41 (69%). An attempt was made to follow‐up each participant at each 6‐month interval by letter and telephone. Total number enrolled in cohort study: 59 children (41 mothers, 29 fathers). |
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Interventions |
Description of exposure for cohorts
See Table 9; Table 10; Table 11; Table 12; Table 13; Table 14; Table 15; Table 16; Table 17; Table 18 for details of total fat intake exposure per outcome. |
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Outcomes |
BMI
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Identification |
Sponsorship source: Australian Rotary Health Foundation, Financial Markets Foundation for Children, National Health and Medical Research Council. Country: Australia. Setting: University Teaching Hospital, Western Australia. Comments: NA. Author's name: N Bogaert. Institution: Department of Endocrinology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia. Email: kss@email.cs.nsw.gov.au. Declaration of Interests: no Study ID: Bogaert 2003. Type of record: journal article. |
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Notes | We contacted the authors to request relevant numerical outcome data, since they only reported the following in the text: "We were unable to demonstrate a positive relation between dietary fat and BMI z‐score change…" We had not received a response by time of publication. | |
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Were adequate outcome data for cohorts available? All outcomes | Unclear risk | Attrition at 1 year: 31% (reasons not stated). Authors reported no significant differences in baseline variables observed between children who attended for follow‐up and children who did not (variables were not specified). |
Was there matching of less‐exposed and more‐exposed participants for prognostic factors associated with outcome or were relevant statistical adjustments done? All outcomes | Unclear risk | Authors stated that partial correlations were used to adjust for confounding variables, but did not specify any variables. |
Did the exposures between groups differ in components other than only total fat? All outcomes | Low risk | |
Can we be confident in the assessment of outcomes? All outcomes | Low risk | Height and weight measured using standard techniques. BC determined after an overnight fast using BIA. |
Can we be confident in the assessment of exposure? All outcomes | High risk | Single assessment using a 3‐day DR. |
Can we be confident in the assessment of presence or absence of prognostic factors? All outcomes | High risk | Only single 3‐day activity record assessed. |
Was selection of less‐exposed and more‐exposed groups from the same population? All outcomes | Low risk | Participants recruited as part of 1 cohort study. Recruitment undertaken in local area through advertising. |