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
. 2022 Jul-Aug;26(4):100430.
doi: 10.1016/j.bjpt.2022.100430. Epub 2022 Jul 13.

Body fat and skeletal muscle mass, but not body mass index, are associated with pressure hyperalgesia in young adults with patellofemoral pain

Affiliations

Body fat and skeletal muscle mass, but not body mass index, are associated with pressure hyperalgesia in young adults with patellofemoral pain

Amanda Schenatto Ferreira et al. Braz J Phys Ther. 2022 Jul-Aug.

Abstract

Background: Young adults with patellofemoral pain (PFP) have a high prevalence of being overweight or obese, which is associated with impaired lower limb function and muscle weakness. However, the impact of being overweight or obese on pain sensitivity has not been explored.

Objectives: We investigated the association between body fat, skeletal muscle mass, and body mass index (BMI) with pressure hyperalgesia and self-reported pain in young adults with PFP.

Methods: 114 adults with PFP (24 ± 5 years old, 62% women) were recruited. Demographics and self-reported pain (current and worst knee pain intensity in the previous month - 0-100 mm visual analog scale) were recorded. Body fat and skeletal muscle mass were measured using bioelectrical impedance. Pressure hyperalgesia was measured using a handheld algometer (pressure pain threshold) at three sites: center of patella of the painful knee, ipsilateral tibialis anterior, and contralateral upper limb. The association between body fat, skeletal muscle mass, and BMI with pressure hyperalgesia and self-reported pain were investigated using partial correlations and hierarchical regression models (adjusted for sex, bilateral pain, and symptoms duration).

Results: Higher body fat and lower skeletal muscle mass were associated with local, spread, and widespread pressure hyperalgesia (ΔR2=0.09 to 0.17, p ≤ 0.001; ΔR2=0.14 to 0.26, p<0.001, respectively), and higher current self-reported pain (ΔR2=0.10, p<0.001; ΔR2=0.06, p = 0.007, respectively). Higher BMI was associated with higher current self-reported pain (ΔR2=0.10, p = 0.001), but not with any measures of pressure hyperalgesia (p>0.05).

Conclusion: Higher body fat and lower skeletal muscle mass help to explain local, spread, and widespread pressure hyperalgesia, and self-reported pain in people with PFP. BMI only helps to explain self-reported pain. These factors should be considered when assessing people with PFP and developing their management plan, but caution should be taken as the strength of association was generally low.

Keywords: Body composition; Pain measurement; Patellofemoral pain syndrome; Pressure pain threshold.

PubMed Disclaimer

Conflict of interest statement

Conflicts of interest The authors declare no conflicts of interest.

Figures

Fig 1
Fig. 1
Flowchart describing the experimental approach. Abbreviation: PFP, patellofemoral pain.
Fig 2
Fig. 2
Scatterplots showing the correlation among body fat (%), measures of pressure hyperalgesia (pressure pain thresholds) (a–c), and self-reported pain (VAS) (d, e). VAS, visual analogue scale.
Fig 3
Fig. 3
Scatterplots showing the correlation among skeletal muscle mass (%), measures of pressure hyperalgesia (pressure pain thresholds) (a–c), and self-reported pain (VAS) (d, e). Abbreviation: VAS, visual analogue scale.
Fig 4
Fig. 4
Scatterplots showing the correlation among BMI, measures of pressure hyperalgesia (pressure pain thresholds) (a–c), and self-reported pain (VAS) (d, e). Abbreviations: BMI, body mass index; VAS, visual analogue scale.

References

    1. Smith B.E., Selfe J., Thacker D., et al. Incidence and prevalence of patellofemoral pain: a systematic review and meta-analysis. PLoS One. 2018;13(1) doi: 10.1371/journal.pone.0190892. - DOI - PMC - PubMed
    1. Crossley K.M., Stefanik J.J., Selfe J., et al. 2016 Patellofemoral pain consensus statement from the 4th International Patellofemoral Pain Research Retreat, Manchester. Part 1: terminology, definitions, clinical examination, natural history, patellofemoral osteoarthritis and patient-reported outcome m. Br J Sports Med. 2016;50(14):839–843. doi: 10.1136/bjsports-2016-096384. - DOI - PMC - PubMed
    1. Lankhorst N.E., van Middelkoop M., Crossley K.M., et al. Factors that predict a poor outcome 5–8 years after the diagnosis of patellofemoral pain: a multicentre observational analysis. Br J Sports Med. 2015:1–7. doi: 10.1136/bjsports-2015-094664. - DOI - PubMed
    1. Powers C.M., Witvrouw E., Davis I.S., Crossley K.M. Evidence-based framework for a pathomechanical model of patellofemoral pain: 2017 patellofemoral pain consensus statement from the 4th International Patellofemoral Pain Research Retreat, Manchester, UK: part 3. Br J Sports Med. 2017;51(24):1713–1723. doi: 10.1136/bjsports-2017-098717. - DOI - PubMed
    1. Zamboti C.L., Camillo C.A.M., Cunha A.P.R.R., Ferreira T.M., Macedo C.S.G. Impaired performance of women with patellofemoral pain during functional tests. Brazilian J Phys Ther. 2021;25(2):156–161. doi: 10.1016/j.bjpt.2020.05.002. - DOI - PMC - PubMed