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Sarcopenic obesity in older people Cover
Open Access
|Oct 2020

Figures & Tables

Fig. 1.

Flowchart of the literature review process

Sarcopenic obesity’s impact on health in older people

AuthorsThe aim of the study was…Results
Follis et al. 2018 [15]to examine associations between sarcopenia, obesity, SO and falls in healthy postmenopausal women.SO criteria:the lowest 20th percentile of ALM BF% > 42%SO is associated with greater FR in the younger women ((RR) =1.35, 95% (CI) = 1.17–1.56) than older↑ FR is in Hispanic (RR = 2.40, 95% CI = 1.56–3.67) and non-Hispanic white (RR = 1.24, 95% CI = 1.11–1.39) women with SO.↑ BF% and ↓ level of physical activity in Fallers
Pajek et al. 2018 [16]to quantify deficits in physical abilities, exam and analyse associations of LM and FM content with test results.SO criteria:lean tissue index in the lower tertile x < 12.2 kg/m2fat tissue index in the highest tertile x > 13.9 kg/m2↑ BMI, age, and fat tissue index in SO/SOV individuals (P < 0.001)↓ lean tissue index in SO/SOV individuals (P < 0.001)↓ HGS (P = 0.07) and physical performance in SO/SOV individuals↑ deficits in lower extremity tests is SO/SOV individuals
Xiao et al. 2018 [17]to investigate the SO association with health outcomes in individuals seeking weight loss treatment in a bariatric centre.SO criteria:FMI/FFMI ratio> 95 percentile of sex,BMI > 30kg/m2FMI – fat mass/height2FFMI – fat free mass/height2↑ BF%, BMI, FMI/FFMI ratio FMI, and WC in SO compared to non – SO (P < 0.001)↑ risk of high cholesterol, asthma, hernia, alcoholism in SO patients (p < 0.05)
PetermannRocha et al. 2020 [18]to examine the association of SO, O, and S with incidence of respiratory disease and mortality.SO criteria:Female:HGS < 20kg; SMI < 6.42 kg/m2One of the obesity criteria:BMI > 30kg/m2, WC > 88cmBF% > 38.6%Male:HGS < 30kg; SMI < 8.87kgm2One of the obesity criteria:BMI > 30kg/m2, WC > 102cmBF% > 26.9%↑ risk of respiratory disease incidence in SO patients (HR: 1.51 [95% CI: 1.30; 1.77])No associations between SO and respiratory mortality (HR: 1.12 [95% CI: 0.76; 1.63]).↑ sedentary behaviour in SO patients↓ levels of HGS in S (19.3 ± 6.6) and SO (22.1 ± 9.0) patients↓ levels of physical activity S (9.2 ± 2.5) and SO (7.4 ± 2.1) patients
Godziuk et al. 2020 [7]to examine the prevalence of SO in adults with end-stage knee osteoarthritis (OA).SO criteria:BMI > 30kg/m2Female:ASM/height2 < 5.45kg/m2ASM/weight < 19.43%ASM/BMI < 0.512kgMale:ASM/height2, x < 7.26 kgASM/weight < 25.72%ASM/BMI < 0.789 kg/m2↓ walking speed, endurance, MS, and self-care activities reported by patients↓ walking speed, climbing stairs↑ age in SO group (mean difference of 5.5 years, 95% CI 1.0–9.9)Prevalence of SO depends on diagnostic criteria.
Yamashita et al. 2020 [19]to examine whether SO identified by preoperative computed tomography is an useful predicting tool of postoperative mortality in individuals with cardiovascular surgery.SO criteria:VAT > 103.0 cm2 for malesVAT > 69.0 cm2 for femalesMA – below median↓ HGS, quadriceps strength, gait speed, and 6MV compared with the CG (p < 0.05)↑ risk of mortality (EuroSCORE) (CI = 1.25–7.40) and all-cause mortality in individuals undergoing cardiovascular surgery

Dietary interventions in SO patients

AuthorsThe aim of the study was…Material characteristicsResults after interventions
Kim et al. 2016 [25]to examine the effects of exercise, tea catechin and amino acid supplementation on blood components, body composition, and physical function in older individuals with SO.SO criteria:SMI < 5.67kg/m2BF% ≥ 32%HGS < 17kgOrBF% ≥ 32%Walking speed < 1.0m/sFemaleEx + N = 36age: 80.9 ± 4.2Ex= 35age: 81.2 ± 4.3N= 34age: 81.2 ± 4.9HE= 34age: 81.1 ± 5.1Health education classes↓ TBF in Ex + N greater than in HE (P = 0.036)↓ TFM the greatest in Ex (P = 0.014)↑ stride in Ex+N and Ex compared to the N and HE groups↑ step length in Ex greater than in HE (P = 0.007).↓ AFM by 4.9% in the Ex + N, 3.4% in Ex, 2.5% in N↑ knee extension strengthincreased in the Ex + N by 17.8%, in Ex by 12.8%, and in N by 9.0%↑ walking speed in Ex + N by 5.7%↓ leptin in Ex + N by 13.5%, in Ex by 11.9%, and in N by 7.6%
Ponti et al. 2018 [26]to identify changes in body composition by DXA in obese individuals enrolled into two weight loss medical programs.SO criteria:BMI > 30kg/m2SMI < 24.9%Female CBT = 27age: 56 ± 11NCP = 21age: 59 ± 9CBT and NCP:↓ BMI, total and regional FM↓ VAT (P < 0.05)↓ FM-to-LM in CBT (P < 0.01) and NCP (P < 0.05)
Nabuco et al. 2019 [27]to examine the effects of 12-week RT associated with whey protein supplementation in individuals with SO.SO criteria:ALST < 15.02 kgBF% > 35%FemaleSG = 13age: 68.0 ± 4.2protein + RT CG = 13age: 70.1 ± 3.9training only↑ LST, ALST in SG compared with the CG (P < 0.001)↓ TFM, FM in SG compared with the CG (P < 0.05)↓ WHR, WC in both groups (P < 0.05)↓ frequency of sarcopenia in SG (13 to 6).↑ muscular strength in both groups (P < 0.05)↓ SO in SG group (61.5%, P < 0.05)↑ functional capacity, and plasma metabolism biomarkers (P < 0.05)↑ chest press, knee extension, total MS and preacher curl (P < 0.05)
Sammarco et al. 2017 [28]to investigate the efficacy of a low-calorie and high-protein nutrition program in people with SO.SO criteria:FBM% > 34.8%LBM < 90% of the subject’sideal FFMFemaleSG = 9age: 55.0 ± 9.6Low-calorie, high-protein diet CG = 9low-calorie diet, placebo↓ weight, FAT (kg) in SG (P = 0.01)↓ FFM, FAT (%) in SG (P = 0.05)↑ general health in SF-36 test in SG (P = 0.03)↑ HGS in SG (P = 0.01)↓ weight, FAT (%) in CG (P = 0.05)↓ FAT (kg) in CG (P = 0.03)↓ LBM greater in SG (P < 0.05)

Exercise interventions’ effects in sarcopenic obesity patients

AuthorsThe aim of the study was…Material characteristicsResults after interventions
Huang et al. 2017 [20]to investigate body composition changes after 12-week elastic band RT in people with SO.SO criteria:SMI < 27.6%BF% > 30%Female SG = 18CG = 17age: 60–90CG had a 40-min lesson about SOIn SG:↓ TBF (P = 0.035) and BF% (P = 0.02)↑ BMD (P = 0.026)↑ T-score (P = 0.028) and Z-score (P = 0.021)Differences between SG and CG:↓ BF% (P = 0.011) and TBF (P = 0.023)
Dieli-Conwright et al. 2018 [21]to examine the clinical efficacy of 16-week exercise intervention on metabolic syndrome in breast cancer posttreatment survivors with SO.SO criteria:ASMM < 5.45kg/m2BMI > 30.0kg/m2FemaleSG = 50age: 52.8 ± 10.6CG = 50age: 53.6 ± 10.1↓ BMI body weight, all fat indicators, and SO biomarkers in the SG compared with baseline (P < 0.01) and the CG (P < 0.01)↑ LBM, ASMM in the SG compared with baseline (P < 0.01) and the CG (P < 0.01)↓ all metabolic syndrome variables (P < 0.001)↑ insulin, HOMA-IR, leptin, and IL-8 (P < 0.01) in the CG
Liao et al. 2017 [22]to investigate the effects of 12-week elastic RT in individuals with SO.SO criteria:SMI < 7.15kg/m2BF% > 30%FemaleSG = 25age: 66.39 ± 4.49CG = 21age: 68.42 ± 5.86↑ FFM (P < 0.05) and leg LM (P < 0.001) in the SG,↓ TBF (P < 0.01) and BF% (P < 0.001) in the SGDifferences between the SG and the CG:↑ gait speed (P < 0.01)↑ TUG, TCR, SLS (P < 0.001)Significant correlation between leg LM and TUG (r = –0.37), TCR (r = 0.42), gait speed (r = 0.36), MQ of the upper (r = 0.48), and MQ of lower extremity (r = 0.45)↓ patients satisfying SO’s criteria
Park et al. 2017 [23]to examine the effects of a 24-week aerobic and RT on carotid parameters in patients with SO.SO criteria:BMI ≥ 25.0kg/m2;ASM/weight > 25.1%FemaleSG = 25CG = 25age:74.1 ± 6.1In the SG:↑ CIMT (p < 0.01)↓ carotid artery intima-media thickness (p < 0.01)↑ wall shear rate (p < 0.05) and peak systolic flow velocity (p < 0.01), diastolic flow velocity (p < 0.001).
Gadelha et al. 2016 [24]to identify the effects of RT on SO in older people.SO criteria:BMI ≥ 30 kg/m2appendicular FFM – FFM of lower and upper limbs;FemaleSG = 69age: 67.0 ± 5.2CG = 64↑ FFM, AFFM and Peak Torque (P < 0.01)↑ muscle strength (assessed with isokinetic dynamometer) (P < 0.01)

Whole-body electromyostimulation effects (WB-EMS) in patients with sarcopenic obesity

AuthorsThe aim of the study was…Material characteristicsResults after interventions
Kemmler et al. 2017 [29]to examine the effect of 16-weeks WB-EMS protocol on SO and sarcopenia in older men.SO criteria:SMI < 0.789;BF% > 27%;MaleWB-EMS&P = 33age: 77.1 ± 4.3Protein group = 33age: 78.1 ± 5.1CG = 34age: 76.9 ± 5.1↑ SMI in WB-EMS&P (P=0.001) and Protein group (P = 0.043)↓ SMI in CG (P = 0.033)↓ TBF in WB-EMS and Protein groups (p < 0.001)↑ Z-Score in WB-EMS&P (P < 0.001) and Protein group (P = 0.007)↑ HGS in the WB-EMS group (P < 0.001)
Kemmler et al. 2016 [30]to identify the effect 26-weeks WB-EMS protocol in individuals with SO.SO criteria:SMI < 5.75kg/m2;BF% > 35%FemaleWB-EMS&P = 25age: 76.4 ± 2.9WB-EMS = 25age: 77.3 ± 4.9CG = 25Age:77.4 ± 4.9↑ Z-Score in the WB-EMS&P and the WB-EMS groups (p ≤ 0.046)↑ SMI in both WB-EMS groups (p ≤ 0.003)↑ gait speed in WB-EMS (p = 0.026)↓ HGS in CG group (P = 0.03)CG parameters significantly deteriorate.
Wittmann et al. 2016 [31]to determine the effect of 6-months WB-EMS protocol on the metabolic syndrome in individuals with SO.SO criteria:SMI < 5.75kg/m2;BF% > 35%FemaleWB-EMS&P = 25age: 76.4 ± 2.9WB-EMS = 25age: 77.3 ± 4.9CG = 25age: 77.4 ± 4.9↓ MetS Z-score in WB-EMS&P group compared with the CG (P = 0.001)↓ MAP in both WB-EMS groups (P = 0.038)↓ WC in WB-EMS group compared with CG (P = 0.036)↓ HDL-C in the WB-EMS&P compared with CG (P = 0.006)↓ HDL-C in CG (P = 0.007)
Language: English
Page range: 25 - 35
Submitted on: Jun 12, 2020
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Accepted on: Sep 21, 2020
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Published on: Oct 23, 2020
In partnership with: Paradigm Publishing Services

© 2020 Patrycja Żaneta Bobowik, published by University of Physical Education in Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.