Smoothy Slim
Photo: Tima Miroshnichenko
In conclusion, skipping breakfast is associated with hypertension in the adult population.
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This effective juice jolts the metabolism, boosts energy and burns fat all day.
Learn More »We used odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) as the general measure for the association between breakfast skipping and hypertension in the adult population. Data of ORs and their corresponding stand errors (SEs) were calculated from 95% CIs or values and were logarithmically transformed to stabilize variance and normalize the distribution [24]. Cochrane’s Q test and estimation of I2 statistic were used to evaluate the heterogeneity among the included observational studies [27]. Significant heterogeneity was considered if I2 > 50%. We used a random-effect model to synthesize the OR data because this model is considered as a more generalized method which incorporates the potential heterogeneity among the included studies [24]. Sensitivity analyses, by omitting one individual study at a time, were performed to test the robustness of the results [28]. Predefined subgroup analyses were performed to evaluate the influences of study characteristics on the outcome, such as population characteristics, study design, country of the study, definition of breakfast skipper, adjustment of BMI, and quality scores. The potential publication bias was assessed by visual inspection of the symmetry of the funnel plots as well as Egger’s regression asymmetry test [29]. We used RevMan (Version 5.1; Cochrane Collaboration, Oxford, UK) and STATA software for the meta-analysis and statistics.
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Learn More »Our study also has limitations. Firstly, the number of available studies for the meta-analysis is limited. We were unable to determine a dose-response association between skipping breakfast and hypertension according to the frequency and duration of the breakfast skipping habits. Besides, the possible influences of participant characteristics on the association of interest could not be determined based on this meta-analysis, such as age and sex. Moreover, we were unable to determine the ethnic differences in breakfasts on the results of the meta-analyses because none of the included studies reported the outcome according to the ethnicity of the included population. However, a subgroup analysis based on country of the study showed a consistent association between skipping breakfast and hypertension in studies from the USA, Korea, and Ghana. In addition, although the results of the meta-analysis were based on multivariate analyses, we could not exclude the possible influence of residual factors which may confound the association, such as dietary components. Finally, a causative relationship between skipping breakfast and hypertension could not be derived from this meta-analysis because it is based on observational studies.
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