Individuals in the highest strata of body weight variability had a significantly increased risk of any cardiovascular event (RR 1.27) compared to those in the lowest strata.
Meta-Analysis (n=15,382,537)
Cardiovascular disease (n=15,382,537)
High body weight variability vs Low body weight variability
Any new singular cardiovascular event — RR 1.27 (1.17-1.38), p=<0.0001
Effect estimate: RR 1.27 (95% CI 1.17-1.38)
p-value: p=<0.0001
Abstract The association between body weight variability and the risk of cardiovascular disease (CVD) has been investigated previously with mixed findings. However, there has been no extensive study which systematically evaluates the current evidence. Furthermore, the impact of ethnicity and type 2 diabetes on this phenomena has not yet been investigated. Therefore, the aim of this study was to comprehensively evaluate the effect of weight variability on risk of CVD (any cardiovascular (CV) event, composite CV outcome, CV death, Stroke, Myocardial Infarction) and the influence of ethnicity and type 2 diabetes status on the observed association. A systematic review and meta-analysis was performed according to the meta-analyses of observational studies in epidemiology (MOOSE) guidelines. The electronic databases PubMed, Web of Science, and the Cochrane Library were searched for studies that investigated the relationship between body weight or BMI variability and CV diseases using Medical Subject Headings (MeSH) terms and keywords. The relative risks (RRs) for the outcomes were collected from studies, pooled, and analysed using a random-effects model to estimate the overall relative risk. Of 5645 articles screened, 23 studies with a total population of 15,382,537 fulfilled the prespecified criteria and were included. Individuals in the highest strata of body weight variability were found to have significantly increased risk of any CV event (RR = 1.27; 95% Confidence Interval (CI) 1.17–1.38; P < 0.0001; I 2 = 97.28%), cardiovascular death (RR = 1.29; 95% CI 1.03–1.60; P < 0.0001; I 2 = 55.16%), myocardial infarction (RR = 1.32; 95% CI 1.09–1.59; P = 0.0037; I 2 = 97.14%), stroke (RR = 1.21; 95% CI 1.19–1.24; P < 0.0001; I 2 = 0.06%), and compound CVD outcomes (RR = 1.36; 95% CI 1.08–1.73; P = 0.01; I 2 = 92.41%). Similar RRs were observed regarding BMI variability and per unit standard deviation (SD) increase in body weight variability. Comparable effects were seen in people with and without diabetes, in White Europeans and Asians. In conclusion, body weight variability is associated with increased risk of CV diseases regardless of ethnicity or diabetes status. Future research is needed to prove a causative link between weight variability and CVD risk, as appropriate interventions to maintain stable weight could positively influence CVD.
Building similarity graph...
Analyzing shared references across papers
Loading...
Robert Massey
Johns Hopkins University
Moneeza K. Siddiqui
Queen Mary University of London
Ewan R. Pearson
University of Dundee
Cardiovascular Diabetology
University of Dundee
Genomics (United Kingdom)
Building similarity graph...
Analyzing shared references across papers
Loading...
Massey et al. (Mon,) conducted a meta-analysis in Cardiovascular disease (n=15,382,537). High body weight variability vs. Low body weight variability was evaluated on Any new singular cardiovascular event (RR 1.27, 95% CI 1.17-1.38, p=<0.0001). Individuals in the highest strata of body weight variability had a significantly increased risk of any cardiovascular event (RR 1.27) compared to those in the lowest strata.
synapsesocial.com/papers/6a16c68766334ab13b054d73 — DOI: https://doi.org/10.1186/s12933-022-01735-x