scholarly journals Impact of risk of generalizability biases in adult obesity interventions: A meta‐epidemiological review and meta‐analysis

2021 ◽  
Author(s):  
Michael W. Beets ◽  
Lauren Klinggraeff ◽  
Sarah Burkart ◽  
Alexis Jones ◽  
John P. A. Ioannidis ◽  
...  
2018 ◽  
Vol 47 (9) ◽  
pp. 646-649
Author(s):  
Elizabeth Sturgiss ◽  
Nicholas Elmitt ◽  
Jason Agostino ◽  
Kirsty Douglas ◽  
Alexander M Clark

2015 ◽  
Vol 17 (2) ◽  
pp. 95-107 ◽  
Author(s):  
M. Simmonds ◽  
A. Llewellyn ◽  
C. G. Owen ◽  
N. Woolacott

2015 ◽  
Vol 19 (43) ◽  
pp. 1-336 ◽  
Author(s):  
Mark Simmonds ◽  
Jane Burch ◽  
Alexis Llewellyn ◽  
Claire Griffiths ◽  
Huiqin Yang ◽  
...  

BackgroundIt is uncertain which simple measures of childhood obesity are best for predicting future obesity-related health problems and the persistence of obesity into adolescence and adulthood.ObjectivesTo investigate the ability of simple measures, such as body mass index (BMI), to predict the persistence of obesity from childhood into adulthood and to predict obesity-related adult morbidities. To investigate how accurately simple measures diagnose obesity in children, and how acceptable these measures are to children, carers and health professionals.Data sourcesMultiple sources including MEDLINE, EMBASE and The Cochrane Library were searched from 2008 to 2013.MethodsSystematic reviews and a meta-analysis were carried out of large cohort studies on the association between childhood obesity and adult obesity; the association between childhood obesity and obesity-related morbidities in adulthood; and the diagnostic accuracy of simple childhood obesity measures. Study quality was assessed using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) and a modified version of the Quality in Prognosis Studies (QUIPS) tool. A systematic review and an elicitation exercise were conducted on the acceptability of the simple measures.ResultsThirty-seven studies (22 cohorts) were included in the review of prediction of adult morbidities. Twenty-three studies (16 cohorts) were included in the tracking review. All studies included BMI. There were very few studies of other measures. There was a strong positive association between high childhood BMI and adult obesity [odds ratio 5.21, 95% confidence interval (CI) 4.50 to 6.02]. A positive association was found between high childhood BMI and adult coronary heart disease, diabetes and a range of cancers, but not stroke or breast cancer. The predictive accuracy of childhood BMI to predict any adult morbidity was very low, with most morbidities occurring in adults who were of healthy weight in childhood. Predictive accuracy of childhood obesity was moderate for predicting adult obesity, with a sensitivity of 30% and a specificity of 98%. Persistence of obesity from adolescence to adulthood was high. Thirty-four studies were included in the diagnostic accuracy review. Most of the studies used the least reliable reference standard (dual-energy X-ray absorptiometry); only 24% of studies were of high quality. The sensitivity of BMI for diagnosing obesity and overweight varied considerably; specificity was less variable. Pooled sensitivity of BMI was 74% (95% CI 64.2% to 81.8%) and pooled specificity was 95% (95% CI 92.2% to 96.4%). The acceptability to children and their carers of BMI or other common simple measures was generally good.LimitationsLittle evidence was available regarding childhood measures other than BMI. No individual-level analysis could be performed.ConclusionsChildhood BMI is not a good predictor of adult obesity or adult disease; the majority of obese adults were not obese as children and most obesity-related adult morbidity occurs in adults who had a healthy childhood weight. However, obesity (as measured using BMI) was found to persist from childhood to adulthood, with most obese adolescents also being obese in adulthood. BMI was found to be reasonably good for diagnosing obesity during childhood. There is no convincing evidence suggesting that any simple measure is better than BMI for diagnosing obesity in childhood or predicting adult obesity and morbidity. Further research on obesity measures other than BMI is needed to determine which is the best tool for diagnosing childhood obesity, and new cohort studies are needed to investigate the impact of contemporary childhood obesity on adult obesity and obesity-related morbidities.Study registrationThis study is registered as PROSPERO CRD42013005711.FundingThe National Institute for Health Research Health Technology Assessment programme.


2020 ◽  
Vol 35 (5) ◽  
pp. 396-406
Author(s):  
R Saavedra Dias ◽  
A N Barros ◽  
A J Silva ◽  
J C Leitão ◽  
J Narciso ◽  
...  

Abstract Effective obesity interventions in adolescent populations have been identified as an immediate priority action to stem the increasing prevalence of adult obesity. The purpose of this meta-analysis was to make a quantitative analysis of the impact of school-based interventions on body mass index during adolescence. Studies were retrieved from PubMed, Scopus, Science Direct and Web of Science databases. Results were pooled using a random-effects model with 95% confidence interval considered statistically significant. Of the 18 798 possible relevant articles identified, 12 articles were included in this meta-analysis. The global result showed a low magnitude effect, though it was statistically significant (N = 14 428), global e.s. = −0.055, P = 0.004 (95% CI = −0.092, −0.017). Heterogeneity was low among the studies (I2 = 9.017%). The funnel plot showed no evidence of publication bias. The rank-correlation test of Begg (P = 0.45641) and Egger’s regression (P = 0.19459) confirmed the absence of bias. This meta-analysis reported a significant effect favoring the interventions; however, future research are needed since the reported the evidence was of low magnitude, with the studies following a substantial range of approaches and mostly had a modest methodological quality.


2014 ◽  
Vol 15 (11) ◽  
pp. 882-893 ◽  
Author(s):  
E. Hemmingsson ◽  
K. Johansson ◽  
S. Reynisdottir

2018 ◽  
Vol 28 (9) ◽  
pp. 2617-2625 ◽  
Author(s):  
Fateh Bazerbachi ◽  
Samir Haffar ◽  
Tarek Sawas ◽  
Eric J. Vargas ◽  
Ravinder Jeet Kaur ◽  
...  

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