Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Jul;22(7):e13218.
doi: 10.1111/obr.13218. Epub 2021 Feb 23.

Impact of different training modalities on anthropometric outcomes in patients with obesity: A systematic review and network meta-analysis

Affiliations

Impact of different training modalities on anthropometric outcomes in patients with obesity: A systematic review and network meta-analysis

Jakub Morze et al. Obes Rev. 2021 Jul.

Abstract

Obesity management guidelines consistently advise aerobic training for weight loss, whereas recommendations for other training modalities are sparse. This systematic review and network meta-analysis (NMA) aimed to compare the long-term effects of different training modalities on anthropometric outcomes in patients with obesity. MEDLINE, Cochrane CENTRAL, and Web of Science were searched to identify the following: (1) randomized controlled trials (RCTs); (2) conducted in adults with a mean body mass index (BMI) ≥30 kg/m2 ; (3) comparing aerobic, resistance, combined, or high-intensity interval training head-to-head or to control for ≥6 months; and (4) reporting changes in body weight (BW), BMI, waist circumference (WC), fat mass (FM), or fat-free mass (FFM). Random-effects NMA models were fitted in a frequentist approach. GRADE framework was used to assess certainty of evidence. Thirty-two RCTs with 4774 participants with obesity were included in this review. Aerobic training was ranked as best for improving BW, BMI, and WC and combined training for improving FM, as well as equally with resistance training most effective for improving FFM. Low to moderate certainty of evidence supports use of aerobic training to improve anthropometric outcomes in obesity, and its combination with resistance training provides additional benefit for reducing FM and increasing FFM.

Keywords: GRADE; aerobic exercise; network meta-analysis; resistance exercise.

PubMed Disclaimer

Conflict of interest statement

J.M, G.R., A.D., K.P., M.N., S.S., and L.S. declare that they have no conflict of interest.

Figures

FIGURE 1
FIGURE 1
Flow diagram of the search and study selection process
FIGURE 2
FIGURE 2
Net graphs for (A) body weight, (B) body mass index, (C) waist circumference, (D) fat mass, and (E) fat‐free mass. The size of the nodes is proportional to the total number of participants allocated to exercise modality, and the thickness of the lines is proportional to the number of studies evaluating each direct comparison. AET, aerobic exercise training; CT, combined training; MI, minimal intervention; RT, resistance training
FIGURE 3
FIGURE 3
Interval plot summarizing mean difference with 95% confidence interval for (A) body weight, (B) body mass index, (C) waist circumference, (D) fat mass, and (E) fat‐free mass as estimated from the network meta‐analysis for every possible pair of training modality. Negative values favor intervention on the left side. AET, aerobic exercise training; CONT, control; CT, combined training; MI, minimal intervention; RT, resistance training

Similar articles

Cited by

References

    1. World Health Organization . Obesity: Preventing and Managing the Global Epidemic. Geneva: World Health Organization; 2000. - PubMed
    1. NCD Risk Factor Collaboration (NCD‐RisC) . Worldwide trends in body‐mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population‐based measurement studies in 128·9 million children, adolescents, and adults. Lancet. 2017;390:2627‐2642. - PMC - PubMed
    1. Di Angelantonio E, Bhupathiraju SN, Wormser D, et al. Body‐mass index and all‐cause mortality: individual‐participant‐data meta‐analysis of 239 prospective studies in four continents. Lancet. 2016;388:776‐786. - PMC - PubMed
    1. Guh DP, Zhang W, Bansback N, Amarsi Z, Birmingham CL, Anis AH. The incidence of co‐morbidities related to obesity and overweight: a systematic review and meta‐analysis. BMC Public Health. 2009;9(1):88. - PMC - PubMed
    1. Abdullah A, Peeters A, de Courten M, Stoelwinder J. The magnitude of association between overweight and obesity and the risk of diabetes: a meta‐analysis of prospective cohort studies. Diabetes Res Clin Pract. 2010;89(3):309‐319. - PubMed

Publication types