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Eating versus skipping breakfast has no discernible effect on obesity-related anthropometric outcomes: a systematic review and meta-analysis
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Background:
Eating or skipping breakfast for weight interests scientific and lay communities. Our objective was to systematically review and meta-analyze causal effects of eating versus skipping breakfast on obesity-related anthropometric outcomes in humans.
Methods:
Six databases were searched for obesity- and breakfast-related terms (final search: 02 JAN 2020). Studies needed to isolate eating versus skipping breakfast in randomized controlled trials. Mean differences were synthesized using inverse variance random effects meta-analysis for each outcome. Positive estimates indicate higher outcomes in breakfast conditions (e.g., weight gain). Leave-one-out sensitivity analysis, secondary baseline habit-by-breakfast assignment analysis, and study duration cumulative analysis were performed. Risk of bias was assessed using Cochrane risk of bias tool.
Results:
Ten articles (12 comparisons; 6d-12wk) were included. Conditions included recommendations to eat versus skip breakfast, or provision of some or all meals. 95% confidence intervals of all main analyses included the null value of no difference for each outcome: body weight (0.17 kg [-0.40,0.73], k=12, n=487, I
2
=74.5), BMI (0.07 kg/m
2
[-0.10,0.23, k=8, n=396, I
2
=54.1), body fat percentage (-0.27% [-1.01,0.47], k=6, n=179, I
2
=52.4), fat mass (0.24 kg [-0.21,0.69], k=6, n=205, I
2
=0.0), lean mass (0.18 kg [-0.08,0.44], k=6, n=205, I
2
=6.7), waist circumference (0.18 cm [-1.77,2.13], k=4, n=102, I
2
=78.7), waist:hip ratio (0.00 [-0.01,0.01], k=4, n=102, I
2
=8.0), sagittal abdominal diameter (0.19 cm [-2.35,2.73], k=2, n=56, I
2
=0.0), and fat mass index (0.00 kg/m
2
[-0.22,0.23], k=2, n=56, I
2
=0.0). Subgroup analysis showed only one statistically significant result. The interaction effect for BMI (–0.36[-0.65,-0.07]) indicates assignment to conditions consistent with baseline habits had lower BMI. Leave-one-out analysis did not indicate substantial influence of any one study.
Conclusions:
There was no discernible effect of eating or skipping breakfast on obesity-related anthropometric measures when pooling studies with substantial design heterogeneity and sometimes statistical heterogeneity.
Registration:
PROSPERO
CRD42016033290
.
F1000 Research Ltd
Title: Eating versus skipping breakfast has no discernible effect on obesity-related anthropometric outcomes: a systematic review and meta-analysis
Description:
Background:
Eating or skipping breakfast for weight interests scientific and lay communities.
Our objective was to systematically review and meta-analyze causal effects of eating versus skipping breakfast on obesity-related anthropometric outcomes in humans.
Methods:
Six databases were searched for obesity- and breakfast-related terms (final search: 02 JAN 2020).
Studies needed to isolate eating versus skipping breakfast in randomized controlled trials.
Mean differences were synthesized using inverse variance random effects meta-analysis for each outcome.
Positive estimates indicate higher outcomes in breakfast conditions (e.
g.
, weight gain).
Leave-one-out sensitivity analysis, secondary baseline habit-by-breakfast assignment analysis, and study duration cumulative analysis were performed.
Risk of bias was assessed using Cochrane risk of bias tool.
Results:
Ten articles (12 comparisons; 6d-12wk) were included.
Conditions included recommendations to eat versus skip breakfast, or provision of some or all meals.
95% confidence intervals of all main analyses included the null value of no difference for each outcome: body weight (0.
17 kg [-0.
40,0.
73], k=12, n=487, I
2
=74.
5), BMI (0.
07 kg/m
2
[-0.
10,0.
23, k=8, n=396, I
2
=54.
1), body fat percentage (-0.
27% [-1.
01,0.
47], k=6, n=179, I
2
=52.
4), fat mass (0.
24 kg [-0.
21,0.
69], k=6, n=205, I
2
=0.
0), lean mass (0.
18 kg [-0.
08,0.
44], k=6, n=205, I
2
=6.
7), waist circumference (0.
18 cm [-1.
77,2.
13], k=4, n=102, I
2
=78.
7), waist:hip ratio (0.
00 [-0.
01,0.
01], k=4, n=102, I
2
=8.
0), sagittal abdominal diameter (0.
19 cm [-2.
35,2.
73], k=2, n=56, I
2
=0.
0), and fat mass index (0.
00 kg/m
2
[-0.
22,0.
23], k=2, n=56, I
2
=0.
0).
Subgroup analysis showed only one statistically significant result.
The interaction effect for BMI (–0.
36[-0.
65,-0.
07]) indicates assignment to conditions consistent with baseline habits had lower BMI.
Leave-one-out analysis did not indicate substantial influence of any one study.
Conclusions:
There was no discernible effect of eating or skipping breakfast on obesity-related anthropometric measures when pooling studies with substantial design heterogeneity and sometimes statistical heterogeneity.
Registration:
PROSPERO
CRD42016033290
.
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