| Literature DB >> 35329121 |
Sang-Dol Kim1, Young-Ran Yeun1.
Abstract
Chronic low-grade inflammation that accompanies aging is associated with adverse health outcomes and may exacerbate the severity of infectious disease such as COVID-19. Resistance training (RT) has the potential to improve chronic low-grade inflammation, but the evidence remains inconclusive. This study evaluated the effects of RT on chronic low-grade inflammation in elderly adults. MEDLINE, EMBASE, Cochrane Library, CINAHL, RISS, NDSL, and KoreaMed were searched. We included studies that assessed the effect of RT on C-reactive protein (CRP), interleukin (IL)-6, IL-10, and tumor necrosis factor (TNF)-α in those aged ≥60 years. The effect size was estimated using fixed or random-effects models. Subgroup analysis was performed regarding age, health status, training method, number of exercises, intensity, weekly frequency, and duration. In the 18 randomized controlled trials (539 patients) included, RT was effective in alleviating CRP (effect size = -0.72, 95% confidence interval = -1.06 to -0.38, p < 0.001), IL-10 (-3.34, -6.16 to -0.53, p = 0.02), and TNF-α (-0.56, -1.08 to -0.03, p = 0.04) in elderly adults and tended to reduce IL-6 (-0.59, -1.18 to 0.00, p = 0.05). Subgroup analyses showed CRP reduction regardless of age, training method, number of exercises, intensity, weekly frequency, and duration. RT can be used to ameliorate chronic low-grade inflammation in elderly adults.Entities:
Keywords: CRP; cytokines; elderly; inflammation; resistance training
Mesh:
Substances:
Year: 2022 PMID: 35329121 PMCID: PMC8950894 DOI: 10.3390/ijerph19063434
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Flow diagram of the study selection process.
Characteristics of included studies.
| First Author and Year | Participants: | Interventions: | Comparisons | Outcome Measures |
|---|---|---|---|---|
| Chupel | Cognitive impairment, | Elastic band, 8–10 ex, vigorous, | Usual care | CRP (↓), IL-10 (↔), TNF-α (↔) |
| Cunha | Healthy | Machines, 8 ex, moderate, | Inactive | CRP (↔) |
| Furtado | Cognitive impairment | Elastic band, 8–10 ex, moderate, | Usual care | CRP (↓), IL-6 (↔), |
| Hsieh | Type 2 diabetes | Machines, 8 ex, vigorous, | Usual care | CRP (↔) |
| Kim | Healthy | Elastic band, 14 ex, moderate, | Inactive | IL-6 (↔), TNF-α (↔) |
| Kim | Type 2 diabetes | Machines, 8 ex, moderate, | Usual care | CRP (↔), IL-6 (↔), |
| Kim | Healthy | Elastic band, 8 ex, vigorous, | Inactive | CRP (↔), IL-6 (↔), |
| Kim | Healthy | Elastic band, 9 ex, moderate, | Inactive | CRP (↓) |
| Lee | Metabolic syndrome | Elastic band, 12 ex, moderate, | Usual care | CRP (↓) |
| Martins | Healthy | Callisthenic and elastic band, | Inactive | CRP (↔) |
| Rall | Healthy | Machines, 5 ex, vigorous, | Inactive | IL-6 (↓), TNF-α (↔) |
| Redwine 2020 | Heart Failure | Elastic band, NR, vigorous, | Inactive | CRP (↔), IL-6 (↑), |
| Rodriguez-Miguelez 2014 | Healthy | Machines, 3 ex, vigorous, | Inactive | CRP (↓), IL-6 (↓) |
| So | Healthy | Elastic band, 14 ex, moderate, | Inactive | CRP (↔), IL-6 (↔), |
| Theodorou | Coronary artery disease | Machines, 8 ex, moderate, | Usual care | CRP (↔) |
| Tomeleri | Obese | Machines, 8 ex, moderate, | Inactive | CRP (↓), IL-6 (↔), |
| Tomeleri | Healthy | Machines, 8 ex, moderate, | Inactive | CRP (↓), IL-6 (↓), |
| Wanderley | Healthy | Machines, 9 ex, moderate, | Inactive | CRP (↓), IL-6 (↔), |
EG, experimental group; CG, control group; NR, not reported; CRP, C- reactive protein; IL-6, interleukin-6; IL-10, interleukin-10; TNF-α, tumor necrosis factors –α; ↓, decreased; ↑, increased; ↔, no change.
Figure 2Forest plot of effect size by resistance training (RT) on (a) CRP, (b) IL-6, (c) IL-10, and (d) TNF-α.
Subgroup analysis of the effects of RT of elderly adults.
| Subgroup | CRP | IL-6 | TNF-α | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Effect Size | 95% CI |
|
| Effect Size | 95% CI |
|
| Effect Size | 95% CI |
|
| |
| Age | ||||||||||||
| ≤70 years | −0.69 | −1.19, −0.20 | 9 | 73 | −0.70 | −1.43, 0.03 | 9 | 85 | −0.73 | −1.46, −0.00 | 8 | 84 |
| >70 years | −0.83 | −1.24, −0.42 | 7 | 54 | −0.31 | −1.49, 0.86 | 2 | 86 | −0.15 | −0.65, 0.34 | 3 | 46 |
| Health condition | ||||||||||||
| Healthy | −0.10 | −0.12, −0.07 | 8 | 87 | −0.57 | −0.65, −0.49 | 7 | 62 | −0.47 | −0.78, −0.16 | 6 | 36 |
| Specific condition | −0.04 | −0.08, 0.00 | 8 | 84 | 0.16 | −0.18, 0.51 | 4 | 64 | −0.73 | −1.90, 0.45 | 5 | 92 |
| Training method | ||||||||||||
| Elastic band | −0.64 | −1.07, −0.21 | 8 | 61 | 0.17 | −0.29, 0.63 | 5 | 50 | −0.89 | −1.87, 0.09 | 6 | 89 |
| Machines | −0.82 | −1.37, −0.27 | 8 | 77 | −1.28 | −2.21, −0.36 | 6 | 85 | −0.33 | −0.63, −0.04 | 5 | 0 |
| Number of exercises | ||||||||||||
| ≤8 | −0.12 | −0.15, −0.08 | 9 | 88 | −0.59 | −0.67, −0.51 | 6 | 27 | −0.04 | −0.17, 0.09 | 5 | 4 |
| >8 | −0.06 | −0.09, −0.04 | 4 | 0 | −0.20 | −0.86, 0.46 | 3 | 53 | −0.52 | −0.93, −0.12 | 3 | 0 |
| Intensity | ||||||||||||
| Moderate | −0.63 | −0.93, −0.33 | 11 | 45 | −0.23 | −0.60, 0.14 | 7 | 46 | −0.23 | −0.52, 0.06 | 7 | 15 |
| Vigorous | −1.11 | −2.02, −0.20 | 5 | 84 | −1.73 | −3.84, 0.39 | 4 | 94 | −1.21 | −2.73, 0.31 | 4 | 91 |
| Weekly frequency | ||||||||||||
| ≤2 | −0.26 | −0.32, −0.20 | 2 | 0 | −0.55 | −0.63, −0.47 | 3 | 93 | −1.93 | −5.43, 1.57 | 2 | 96 |
| >2 | −0.05 | −0.08, −0.03 | 12 | 69 | −0.37 | −0.61, −0.12 | 7 | 31 | −0.38 | −0.65, −0.10 | 7 | 0 |
| Duration (week) | ||||||||||||
| ≤8 | −0.26 | −0.32, −0.20 | 2 | 79 | −0.59 | −0.67, −0.50 | 3 | 62 | −0.24 | −0.87, 0.40 | 1 | - |
| >8 | −0.05 | −0.08, −0.03 | 14 | 78 | −0.14 | −0.36, 0.09 | 8 | 68 | −0.59 | −1.18, −0.01 | 10 | 82 |
Figure 3Methodological quality.